IV106 Bioinformatics seminar

Faculty of Informatics
Spring 2025
Extent and Intensity
0/1/0. 1 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
In-person direct teaching
Teacher(s)
doc. Ing. Matej Lexa, Ph.D. (lecturer)
Guaranteed by
doc. Ing. Matej Lexa, Ph.D.
Department of Machine Learning and Data Processing – Faculty of Informatics
Supplier department: Department of Machine Learning and Data Processing – Faculty of Informatics
Prerequisites
Those who sign up for this interdisciplinary course should be able to listen to lectures and to read and comprehend a scientific paper or book chapter written in English. Deeper knowledge of algorithm design and programming will allow the particular student to focus more on the biological side of the studied problems or vice versa. Students of non-biological fields should be concurrently enrolled in, or have previously passed IV107 Bioinformatics I. Alternatively they may frequent the course with the consent of the teacher.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 38 fields of study the course is directly associated with, display
Course objectives
Long-term the seminar covers "Biological (molecular) and biomedical data analysis". Individual runs may focus on a specific subtopic.
Learning outcomes
Students will gain insight into problems studied in bioinformatics; they will practice presentation and discussion techniques in front of an audience.
Syllabus
  • - Introduction to deep learning in bioinformatics - Lectures of invited lecturers covering the same topic - Students will chose a publication from this area to present in class in a 'journal club' format
Literature
  • ZVELEBIL, Marketa J. and Jeremy O. BAUM. Understanding bioinformatics. New York, N.Y.: Garland Science, 2008, xxiii, 772. ISBN 9780815340249. info
Teaching methods
invited lectures, student presentations and discussion
Assessment methods
Each student will be evaluated based on his presentation of the studied paper. Those absent from presentations will take an oral exam of topics covered during the semester.
Language of instruction
English
Follow-Up Courses
Further comments (probably available only in Czech)
The course is taught annually.
The course is taught: every week.
Teacher's information
http://www.fi.muni.cz/~lexa/
The course is also listed under the following terms Spring 2005, Spring 2006, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024.

IV106 Bioinformatics seminar

Faculty of Informatics
Spring 2024
Extent and Intensity
0/1/0. 1 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
Teacher(s)
doc. Ing. Matej Lexa, Ph.D. (lecturer)
Guaranteed by
doc. Ing. Matej Lexa, Ph.D.
Department of Machine Learning and Data Processing – Faculty of Informatics
Supplier department: Department of Machine Learning and Data Processing – Faculty of Informatics
Timetable
Wed 16:00–16:50 A319
Prerequisites
Those who sign up for this interdisciplinary course should be able to listen to lectures and to read and comprehend a scientific paper or book chapter written in English. Deeper knowledge of algorithm design and programming will allow the particular student to focus more on the biological side of the studied problems or vice versa. Students of non-biological fields should be concurrently enrolled in, or have previously passed IV107 Bioinformatics I. Alternatively they may frequent the course with the consent of the teacher.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 81 fields of study the course is directly associated with, display
Course objectives
Long-term the seminar covers "Biological (molecular) and biomedical data analysis". Individual runs may focus on a specific subtopic.
Learning outcomes
Students will gain insight into problems studied in bioinformatics; they will practice presentation and discussion techniques in front of an audience.
Syllabus
  • - Introduction to deep learning in bioinformatics - Lectures of invited lecturers covering the same topic - Students will chose a publication from this area to present in class in a 'journal club' format
Literature
  • ZVELEBIL, Marketa J. and Jeremy O. BAUM. Understanding bioinformatics. New York, N.Y.: Garland Science, 2008, xxiii, 772. ISBN 9780815340249. info
Teaching methods
invited lectures, student presentations and discussion
Assessment methods
Each student will be evaluated based on his presentation of the studied paper. Those absent from presentations will take an oral exam of topics covered during the semester.
Language of instruction
English
Follow-Up Courses
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
Teacher's information
http://www.fi.muni.cz/~lexa/
The course is also listed under the following terms Spring 2005, Spring 2006, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2025.

IV106 Bioinformatics seminar

Faculty of Informatics
Spring 2023
Extent and Intensity
0/1/0. 1 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
Teacher(s)
Mgr. Monika Čechová, Ph.D. (lecturer)
doc. Ing. Matej Lexa, Ph.D. (lecturer)
Guaranteed by
doc. Ing. Matej Lexa, Ph.D.
Department of Machine Learning and Data Processing – Faculty of Informatics
Supplier department: Department of Machine Learning and Data Processing – Faculty of Informatics
Timetable
Wed 15. 2. to Wed 10. 5. Wed 16:00–16:50 A319
Prerequisites
Those who sign up for this interdisciplinary course should be able to listen to lectures and to read and comprehend a scientific paper or book chapter written in English. Deeper knowledge of algorithm design and programming will allow the particular student to focus more on the biological side of the studied problems or vice versa. Students of non-biological fields should be concurrently enrolled in, or have previously passed IV107 Bioinformatics I. Alternatively they may frequent the course with the consent of the teacher.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 81 fields of study the course is directly associated with, display
Course objectives
Long-term the seminar covers "Biological (molecular) and biomedical data analysis". Individual runs may focus on a specific subtopic.
Learning outcomes
Students will gain insight into problems studied in bioinformatics; they will practice presentation and discussion techniques in front of an audience.
Syllabus
  • - Introduction to deep learning in bioinformatics - Lectures of invited lecturers covering the same topic - Students will chose a publication from this area to present in class in a 'journal club' format
Literature
  • ZVELEBIL, Marketa J. and Jeremy O. BAUM. Understanding bioinformatics. New York, N.Y.: Garland Science, 2008, xxiii, 772. ISBN 9780815340249. info
Teaching methods
invited lectures, student presentations and discussion
Assessment methods
Each student will be evaluated based on his presentation of the studied paper. Those absent from presentations will take an oral exam of topics covered during the semester.
Language of instruction
English
Follow-Up Courses
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
Teacher's information
http://www.fi.muni.cz/~lexa/
The course is also listed under the following terms Spring 2005, Spring 2006, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2024, Spring 2025.

IV106 Bioinformatics seminar

Faculty of Informatics
Spring 2022
Extent and Intensity
0/1/0. 1 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
Teacher(s)
Mgr. Monika Čechová, Ph.D. (lecturer)
doc. Ing. Matej Lexa, Ph.D. (lecturer)
Guaranteed by
doc. Ing. Matej Lexa, Ph.D.
Department of Machine Learning and Data Processing – Faculty of Informatics
Supplier department: Department of Machine Learning and Data Processing – Faculty of Informatics
Timetable
Wed 16. 2. to Wed 11. 5. Wed 16:00–16:50 A319
Prerequisites
Those who sign up for this interdisciplinary course should be able to listen to lectures and to read and comprehend a scientific paper or book chapter written in English. Deeper knowledge of algorithm design and programming will allow the particular student to focus more on the biological side of the studied problems or vice versa. Students of non-biological fields should be concurrently enrolled in, or have previously passed IV107 Bioinformatics I. Alternatively they may frequent the course with the consent of the teacher.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 80 fields of study the course is directly associated with, display
Course objectives
Long-term the seminar covers "Biological (molecular) and biomedical data analysis". Individual runs may focus on a specific subtopic.
Learning outcomes
Students will gain insight into problems studied in bioinformatics; they will practice presentation and discussion techniques in front of an audience.
Syllabus
  • - Introduction to deep learning in bioinformatics - Lectures of invited lecturers covering the same topic - Students will chose a publication from this area to present in class in a 'journal club' format
Literature
  • ZVELEBIL, Marketa J. and Jeremy O. BAUM. Understanding bioinformatics. New York, N.Y.: Garland Science, 2008, xxiii, 772. ISBN 9780815340249. info
Teaching methods
invited lectures, student presentations and discussion
Assessment methods
Each student will be evaluated based on his presentation of the studied paper. Those absent from presentations will take an oral exam of topics covered during the semester.
Language of instruction
English
Follow-Up Courses
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
Teacher's information
http://www.fi.muni.cz/~lexa/
The course is also listed under the following terms Spring 2005, Spring 2006, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2023, Spring 2024, Spring 2025.

IV106 Bioinformatics seminar

Faculty of Informatics
Spring 2021
Extent and Intensity
0/1/0. 1 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
Teacher(s)
doc. Ing. Matej Lexa, Ph.D. (lecturer)
Guaranteed by
doc. Ing. Matej Lexa, Ph.D.
Department of Machine Learning and Data Processing – Faculty of Informatics
Supplier department: Department of Machine Learning and Data Processing – Faculty of Informatics
Timetable
Thu 11:00–11:50 Virtuální místnost
Prerequisites
Those who sign up for this interdisciplinary course should be able to read and comprehend a scientific paper or book chapter written in English. Deeper knowledge of algorithm design and programming will allow the particular student to focus more on the biological side of the studied problems or vice versa. Students of non-biological fields should be concurrently enrolled in, or have previously passed IV107 Bioinformatics I. Alternatively they may frequent the course with the consent of the teacher.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 80 fields of study the course is directly associated with, display
Course objectives
The Spring Term seminar covers "Biological sequence analysis, protein structure prediction, detection of genes, promoter sequences and other elements".
Learning outcomes
Students will gain insight into problems studied in bioinformatics; they will practice presentation and discussion techniques in front of an audience.
Syllabus
  • Students will chose publications to study recent methods in genomic sequence analysis (using suggested journal articles or other material approved by the teacher). Possible subjects of papers:
  • Sequencing data processing
  • Gene identification in DNA sequences
  • Similarity between sequences
  • Motif and pattern searching
  • DNA and RNA secondary structure prediction
Literature
  • ZVELEBIL, Marketa J. and Jeremy O. BAUM. Understanding bioinformatics. New York, N.Y.: Garland Science, 2008, xxiii, 772. ISBN 9780815340249. info
Teaching methods
student presentations and discussion
Assessment methods
Each student will be evaluated based on his presentation of the studied paper. Those absent from presentations will take an oral exam of topics covered during the semester.
Language of instruction
English
Follow-Up Courses
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
Teacher's information
http://www.fi.muni.cz/~lexa/
The course is also listed under the following terms Spring 2005, Spring 2006, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2020, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

IV106 Bioinformatics seminar

Faculty of Informatics
Spring 2020
Extent and Intensity
0/1/0. 1 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
Teacher(s)
doc. Ing. Matej Lexa, Ph.D. (lecturer)
Guaranteed by
doc. Ing. Matej Lexa, Ph.D.
Department of Machine Learning and Data Processing – Faculty of Informatics
Supplier department: Department of Machine Learning and Data Processing – Faculty of Informatics
Timetable
Mon 17. 2. to Fri 15. 5. Thu 9:00–9:50 C525
Prerequisites
Those who sign up for this interdisciplinary course should be able to read and comprehend a scientific paper or book chapter written in English. Deeper knowledge of algorithm design and programming will allow the particular student to focus more on the biological side of the studied problems or vice versa. Students of non-biological fields should be concurrently enrolled in, or have previously passed IV107 Bioinformatics I. Alternatively they may frequent the course with the consent of the teacher.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 80 fields of study the course is directly associated with, display
Course objectives
The Spring Term seminar covers "Biological sequence analysis, protein structure prediction, detection of genes, promoter sequences and other elements".
Learning outcomes
Students will gain insight into problems studied in bioinformatics; they will practice presentation and discussion techniques in front of an audience.
Syllabus
  • Students will chose publications to study recent methods in genomic sequence analysis (using suggested journal articles or other material approved by the teacher). Possible subjects of papers:
  • Sequencing data processing
  • Gene identification in DNA sequences
  • Similarity between sequences
  • Motif and pattern searching
  • DNA and RNA secondary structure prediction
Literature
  • ZVELEBIL, Marketa J. and Jeremy O. BAUM. Understanding bioinformatics. New York, N.Y.: Garland Science, 2008, xxiii, 772. ISBN 9780815340249. info
Teaching methods
student presentations and discussion
Assessment methods
Each student will be evaluated based on his presentation of the studied paper. Those absent from presentations will take an oral exam of topics covered during the semester.
Language of instruction
English
Follow-Up Courses
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
Teacher's information
http://www.fi.muni.cz/~lexa/
The course is also listed under the following terms Spring 2005, Spring 2006, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

IV106 Bioinformatics seminar

Faculty of Informatics
Spring 2019
Extent and Intensity
0/1/0. 1 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
Teacher(s)
doc. Ing. Matej Lexa, Ph.D. (lecturer)
Guaranteed by
doc. RNDr. Aleš Horák, Ph.D.
Department of Machine Learning and Data Processing – Faculty of Informatics
Supplier department: Department of Machine Learning and Data Processing – Faculty of Informatics
Timetable
Wed 9:00–9:50 B411
Prerequisites
Those who sign up for this interdisciplinary course should be able to read and comprehend a scientific paper or book chapter written in English. Deeper knowledge of algorithm design and programming will allow the particular student to focus more on the biological side of the studied problems or vice versa. Students of non-biological fields should be concurrently enrolled in, or have previously passed IV107 Bioinformatics I. Alternatively they may frequent the course with the consent of the teacher.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 43 fields of study the course is directly associated with, display
Course objectives
The Spring Term seminar covers "Biological sequence analysis, protein structure prediction, detection of genes, promoter sequences and other elements".
Students will gain insight into problems studied in bioinformatics; they will practice presentation and discussion techniques in front of an audience.
Syllabus
  • Students will chose publications to study recent methods in genomic sequence analysis (using suggested journal articles or other material approved by the teacher). Possible subjects of papers:
  • Sequencing data processing
  • Gene identification in DNA sequences
  • Similarity between sequences
  • Motif and pattern searching
  • DNA and RNA secondary structure prediction
Literature
  • ZVELEBIL, Marketa J. and Jeremy O. BAUM. Understanding bioinformatics. New York, N.Y.: Garland Science, 2008, xxiii, 772. ISBN 9780815340249. info
Teaching methods
student presentations and discussion
Assessment methods
Each student will be evaluated based on his presentation of the studied paper. Those absent from presentations will take an oral exam of topics covered during the semester.
Language of instruction
English
Follow-Up Courses
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
Teacher's information
http://www.fi.muni.cz/~lexa/
The course is also listed under the following terms Spring 2005, Spring 2006, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

IV106 Bioinformatics seminar

Faculty of Informatics
Spring 2018
Extent and Intensity
0/1/0. 1 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
Teacher(s)
doc. Ing. Matej Lexa, Ph.D. (lecturer)
Guaranteed by
doc. RNDr. Aleš Horák, Ph.D.
Department of Machine Learning and Data Processing – Faculty of Informatics
Supplier department: Department of Machine Learning and Data Processing – Faculty of Informatics
Timetable
Thu 12:00–12:50 C416
Prerequisites
Those who sign up for this interdisciplinary course should be able to read and comprehend a scientific paper or book chapter written in English. Deeper knowledge of algorithm design and programming will allow the particular student to focus more on the biological side of the studied problems or vice versa. Students of non-biological fields should be concurrently enrolled in, or have previously passed IV107 Bioinformatics I. Alternatively they may frequent the course with the consent of the teacher.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 43 fields of study the course is directly associated with, display
Course objectives
The Spring Term seminar covers "Biological sequence analysis, protein structure prediction, detection of genes, promoter sequences and other elements".
Students will gain insight into problems studied in bioinformatics; they will practice presentation and discussion techniques in front of an audience.
Syllabus
  • Students will chose publications to study recent methods in genomic sequence analysis (using suggested journal articles or other material approved by the teacher). Possible subjects of papers:
  • Sequencing data processing
  • Gene identification in DNA sequences
  • Similarity between sequences
  • Motif and pattern searching
  • DNA and RNA secondary structure prediction
Literature
  • ZVELEBIL, Marketa J. and Jeremy O. BAUM. Understanding bioinformatics. New York, N.Y.: Garland Science, 2008, xxiii, 772. ISBN 9780815340249. info
Teaching methods
student presentations and discussion
Assessment methods
Each student will be evaluated based on his presentation of the studied paper. Those absent from presentations will take an oral exam of topics covered during the semester.
Language of instruction
English
Follow-Up Courses
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
Teacher's information
http://www.fi.muni.cz/~lexa/
The course is also listed under the following terms Spring 2005, Spring 2006, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

IV106 Bioinformatics seminar

Faculty of Informatics
Spring 2017
Extent and Intensity
0/1/0. 1 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
Teacher(s)
doc. Ing. Matej Lexa, Ph.D. (lecturer)
Guaranteed by
doc. RNDr. Aleš Horák, Ph.D.
Department of Machine Learning and Data Processing – Faculty of Informatics
Supplier department: Department of Machine Learning and Data Processing – Faculty of Informatics
Timetable
Tue 12:00–13:50 B411
Prerequisites
Those who sign up for this interdisciplinary course should be able to read and comprehend a scientific paper or book chapter written in English. Deeper knowledge of algorithm design and programming will allow the particular student to focus more on the biological side of the studied problems or vice versa. Students of non-biological fields should be concurrently enrolled in, or have previously passed IV107 Bioinformatics I. Alternatively they may frequent the course with the consent of the teacher.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 43 fields of study the course is directly associated with, display
Course objectives
The Spring Term seminar covers "Biological sequence analysis, protein structure prediction, detection of genes, promoter sequences and other elements".
Students will gain insight into problems studied in bioinformatics; they will practice presentation and discussion techniques in front of an audience.
Syllabus
  • Students will chose publications to study recent methods in genomic sequence analysis (using suggested journal articles or other material approved by the teacher). Possible subjects of papers:
  • Sequencing data processing
  • Gene identification in DNA sequences
  • Similarity between sequences
  • Motif and pattern searching
  • DNA and RNA secondary structure prediction
Literature
  • ZVELEBIL, Marketa J. and Jeremy O. BAUM. Understanding bioinformatics. New York, N.Y.: Garland Science, 2008, xxiii, 772. ISBN 9780815340249. info
Teaching methods
student presentations and discussion
Assessment methods
Each student will be evaluated based on his presentation of the studied paper. Those absent from presentations will take an oral exam of topics covered during the semester.
Language of instruction
English
Follow-Up Courses
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
Teacher's information
http://www.fi.muni.cz/~lexa/
The course is also listed under the following terms Spring 2005, Spring 2006, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

IV106 Bionformatics seminar

Faculty of Informatics
Spring 2016
Extent and Intensity
0/1/0. 1 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
Teacher(s)
doc. Ing. Matej Lexa, Ph.D. (lecturer)
Guaranteed by
doc. RNDr. Aleš Horák, Ph.D.
Department of Machine Learning and Data Processing – Faculty of Informatics
Supplier department: Department of Machine Learning and Data Processing – Faculty of Informatics
Timetable
Mon 8:00–9:50 C416
Prerequisites
Those who sign up for this interdisciplinary course should be able to read and comprehend a scientific paper or book chapter written in English. Deeper knowledge of algorithm design and programming will allow the particular student to focus more on the biological side of the studied problems or vice versa. Students of non-biological fields should be concurrently enrolled in, or have previously passed IV107 Bioinformatics I. Alternatively they may frequent the course with the consent of the teacher.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 43 fields of study the course is directly associated with, display
Course objectives
The Spring Term seminar covers "Biological sequence analysis, protein structure prediction, detection of genes, promoter sequences and other elements".
Students will gain insight into problems studied in bioinformatics; they will practice presentation and discussion techniques in front of an audience.
Syllabus
  • Students will chose publications to study recent methods in genomic sequence analysis (using suggested journal articles or other material approved by the teacher). Possible subjects of papers:
  • Sequencing data processing
  • Gene identification in DNA sequences
  • Similarity between sequences
  • Motif and pattern searching
  • DNA and RNA secondary structure prediction
Literature
  • ZVELEBIL, Marketa J. and Jeremy O. BAUM. Understanding bioinformatics. New York, N.Y.: Garland Science, 2008, xxiii, 772. ISBN 9780815340249. info
Teaching methods
student presentations and discussion
Assessment methods
Each student will be evaluated based on his presentation of the studied paper. Those absent from presentations will take an oral exam of topics covered during the semester.
Language of instruction
English
Follow-Up Courses
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
Teacher's information
http://www.fi.muni.cz/~lexa/
The course is also listed under the following terms Spring 2005, Spring 2006, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2017, Spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

IV106 Bionformatics seminar

Faculty of Informatics
Spring 2015
Extent and Intensity
0/1/0. 1 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
Teacher(s)
doc. Ing. Matej Lexa, Ph.D. (lecturer)
Guaranteed by
doc. RNDr. Aleš Horák, Ph.D.
Department of Machine Learning and Data Processing – Faculty of Informatics
Supplier department: Department of Machine Learning and Data Processing – Faculty of Informatics
Timetable
Fri 10:00–11:50 C416
Prerequisites
Those who sign up for this interdisciplinary course should be able to read and comprehend a scientific paper or book chapter written in English. Deeper knowledge of algorithm design and programming will allow the particular student to focus more on the biological side of the studied problems or vice versa. Students of non-biological fields should be concurrently enrolled in, or have previously passed IV107 Bioinformatics I. Alternatively they may frequent the course with the consent of the teacher.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 42 fields of study the course is directly associated with, display
Course objectives
The Spring Term seminar covers "Biological sequence analysis, protein structure prediction, detection of genes, promoter sequences and other elements".
Students will gain insight into problems studied in bioinformatics; they will practice presentation and discussion techniques in front of an audience.
Syllabus
  • Students will chose publications to study recent methods in genomic sequence analysis (using suggested journal articles or other material approved by the teacher). Possible subjects of papers:
  • Sequencing data processing
  • Gene identification in DNA sequences
  • Similarity between sequences
  • Motif and pattern searching
  • DNA and RNA secondary structure prediction
Literature
  • ZVELEBIL, Marketa J. and Jeremy O. BAUM. Understanding bioinformatics. New York, N.Y.: Garland Science, 2008, xxiii, 772. ISBN 9780815340249. info
Teaching methods
student presentations and discussion
Assessment methods
Each student will be evaluated based on his presentation of the studied paper. Those absent from presentations will take an oral exam of topics covered during the semester.
Language of instruction
English
Follow-Up Courses
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
Teacher's information
http://www.fi.muni.cz/~lexa/
The course is also listed under the following terms Spring 2005, Spring 2006, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

IV106 Bionformatics seminar

Faculty of Informatics
Spring 2014
Extent and Intensity
0/1/0. 1 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
Teacher(s)
doc. Ing. Matej Lexa, Ph.D. (lecturer)
Guaranteed by
prof. Ing. Václav Přenosil, CSc.
Department of Machine Learning and Data Processing – Faculty of Informatics
Supplier department: Department of Machine Learning and Data Processing – Faculty of Informatics
Timetable
Wed 12:00–13:50 G107
Prerequisites
Those who sign up for this interdisciplinary course should be able to read and comprehend a scientific paper or book chapter written in English. Deeper knowledge of algorithm design and programming will allow the particular student to focus more on the biological side of the studied problems or vice versa. Students of non-biological fields should be concurrently enrolled in, or have previously passed IV107 Bioinformatics I. Alternatively they may frequent the course with the consent of the teacher.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 42 fields of study the course is directly associated with, display
Course objectives
The Spring Term seminar covers "Biological sequence analysis, protein structure prediction, detection of genes, promoter sequences and other elements".
Students will gain insight into problems studied in bioinformatics; they will practice presentation and discussion techniques in front of an audience.
Syllabus
  • Students will chose publications to study recent methods in genomic sequence analysis (using suggested journal articles or other material approved by the teacher). Possible subjects of papers:
  • Sequencing data processing
  • Gene identification in DNA sequences
  • Similarity between sequences
  • Motif and pattern searching
  • DNA and RNA secondary structure prediction
Literature
  • ZVELEBIL, Marketa J. and Jeremy O. BAUM. Understanding bioinformatics. New York, N.Y.: Garland Science, 2008, xxiii, 772. ISBN 9780815340249. info
Teaching methods
student presentations and discussion
Assessment methods
Each student will be evaluated based on his presentation of the studied paper. Those absent from presentations will take an oral exam of topics covered during the semester.
Language of instruction
English
Follow-Up Courses
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
Teacher's information
http://www.fi.muni.cz/~lexa/
The course is also listed under the following terms Spring 2005, Spring 2006, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

IV106 Bionformatics seminar

Faculty of Informatics
Spring 2013
Extent and Intensity
0/1/0. 1 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
Teacher(s)
doc. Ing. Matej Lexa, Ph.D. (lecturer)
Guaranteed by
prof. Ing. Václav Přenosil, CSc.
Department of Machine Learning and Data Processing – Faculty of Informatics
Supplier department: Department of Machine Learning and Data Processing – Faculty of Informatics
Timetable
Fri 12:00–13:50 B116
Prerequisites
Those who sign up for this interdisciplinary course should be able to read and comprehend a scientific paper or book chapter written in English. Deeper knowledge of algorithm design and programming will allow the particular student to focus more on the biological side of the studied problems or vice versa. Students of non-biological fields should be concurrently enrolled in, or have previously passed IV107 Bioinformatics I. Alternatively they may frequent the course with the consent of the teacher.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 42 fields of study the course is directly associated with, display
Course objectives
The Spring Term seminar covers "Biological sequence analysis, protein structure prediction, detection of genes, promoter sequences and other elements".
Students will gain insight into problems studied in bioinformatics; they will practice presentation and discussion techniques in front of an audience.
Syllabus
  • Students will chose publications to study recent methods in genomic sequence analysis (using suggested journal articles or other material approved by the teacher). Possible subjects of papers:
  • Sequencing data processing
  • Gene identification in DNA sequences
  • Similarity between sequences
  • Motif and pattern searching
  • DNA and RNA secondary structure prediction
Literature
  • ZVELEBIL, Marketa J. and Jeremy O. BAUM. Understanding bioinformatics. New York, N.Y.: Garland Science, 2008, xxiii, 772. ISBN 9780815340249. info
Teaching methods
student presentations and discussion
Assessment methods
Each student will be evaluated based on his presentation of the studied paper. Those absent from presentations will take an oral exam of topics covered during the semester.
Language of instruction
English
Follow-Up Courses
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
Teacher's information
http://www.fi.muni.cz/~lexa/
The course is also listed under the following terms Spring 2005, Spring 2006, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

IV106 Bionformatics seminar

Faculty of Informatics
Spring 2012
Extent and Intensity
0/1/0. 1 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
Teacher(s)
doc. Ing. Matej Lexa, Ph.D. (lecturer)
Guaranteed by
prof. Ing. Václav Přenosil, CSc.
Department of Machine Learning and Data Processing – Faculty of Informatics
Supplier department: Department of Machine Learning and Data Processing – Faculty of Informatics
Prerequisites
Those who sign up for this interdisciplinary course should be able to read and comprehend a scientific paper or book chapter written in English. Deeper knowledge of algorithm design and programming will allow the particular student to focus more on the biological side of the studied problems or vice versa. Students of non-biological fields should be concurrently enrolled in, or have previously passed IV107 Bioinformatics I. Alternatively they may frequent the course with the consent of the teacher.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 42 fields of study the course is directly associated with, display
Course objectives
The Spring Term seminar covers "Genomic sequence analysis for detection of genes, promoter sequences and other elements".
Students will gain insight into problems studied in bioinformatics; they will practice presentation and discussion techniques in front of an audience.
Syllabus
  • Students will chose publications to study recent methods in genomic sequence analysis (using suggested journal articles or other material approved by the teacher). Possible subjects of papers:
  • Gene identification in DNA sequences
  • Similarity between sequences
  • Motif and pattern searching
  • DNA and RNA secondary structure prediction
Literature
  • ZVELEBIL, Marketa J. and Jeremy O. BAUM. Understanding bioinformatics. New York, N.Y.: Garland Science, 2008, xxiii, 772. ISBN 9780815340249. info
Teaching methods
student presentations and discussion
Assessment methods
Each student will be evaluated based on his presentation of the studied paper. Those absent from presentations will take an oral exam of topics covered during the semester.
Language of instruction
English
Follow-Up Courses
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
The course is taught: every week.
Teacher's information
http://www.fi.muni.cz/~lexa/
The course is also listed under the following terms Spring 2005, Spring 2006, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

IV106 Bionformatics seminar

Faculty of Informatics
Spring 2011
Extent and Intensity
0/1/0. 1 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
Teacher(s)
doc. Ing. Matej Lexa, Ph.D. (lecturer)
Guaranteed by
prof. Ing. Václav Přenosil, CSc.
Department of Machine Learning and Data Processing – Faculty of Informatics
Timetable
Tue 8:00–8:50 B411
Prerequisites
Those who sign up for this interdisciplinary course should be able to read and comprehend a scientific paper or book chapter written in English. Deeper knowledge of algorithm design and programming will allow the particular student to focus more on the biological side of the studied problems or vice versa. Students of non-biological fields should be concurrently enrolled in, or have previously passed IV107 Bioinformatics I. Alternatively they may frequent the course with the consent of the teacher.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 40 fields of study the course is directly associated with, display
Course objectives
The Spring Term seminar covers "Genomic sequence analysis for detection of genes, promoter sequences and other elements".
Students will gain insight into problems studied in bioinformatics; they will practice presentation and discussion techniques in front of an audience.
Syllabus
  • Students will chose publications to study recent methods in genomic sequence analysis (using suggested journal articles or other material approved by the teacher). Possible subjects of papers:
  • Gene identification in DNA sequences
  • Similarity between sequences
  • Motif and pattern searching
  • DNA and RNA secondary structure prediction
Literature
  • ZVELEBIL, Marketa J. and Jeremy O. BAUM. Understanding bioinformatics. New York, N.Y.: Garland Science, 2008, xxiii, 772. ISBN 9780815340249. info
Teaching methods
student presentations and discussion
Assessment methods
Each student will be evaluated based on his presentation of the studied paper. Those absent from presentations will take an oral exam of topics covered during the semester.
Language of instruction
English
Follow-Up Courses
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
Teacher's information
http://www.fi.muni.cz/~lexa/
The course is also listed under the following terms Spring 2005, Spring 2006, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

IV106 Bionformatics seminar

Faculty of Informatics
Spring 2010
Extent and Intensity
0/1/0. 1 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
Teacher(s)
doc. Ing. Matej Lexa, Ph.D. (lecturer)
Guaranteed by
prof. Ing. Václav Přenosil, CSc.
Department of Machine Learning and Data Processing – Faculty of Informatics
Timetable
Mon 9:00–9:50 B411
Prerequisites
Those who sign up for this interdisciplinary course should be able to read and comprehend a scientific paper or book chapter written in English. Deeper knowledge of algorithm design and programming will allow the particular student to focus more on the biological side of the studied problems or vice versa. Students of non-biological fields should be concurrently enrolled in, or have previously passed IV107 Bioinformatics I. Alternatively they may frequent the course with the consent of the teacher.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 40 fields of study the course is directly associated with, display
Course objectives
The Spring Term seminar covers "Genomic sequence analysis for detection of genes, promoter sequences and other elements".
Students will gain insight into problems studied in bioinformatics; they will practice presentation and discussion techniques in front of an audience.
Syllabus
  • Students will chose publications to study recent methods in genomic sequence analysis (using suggested journal articles or other material approved by the teacher). Possible subjects of papers:
  • Gene identification in DNA sequences
  • Similarity between sequences
  • Motif and pattern searching
  • DNA and RNA secondary structure prediction
Literature
  • ZVELEBIL, Marketa J. and Jeremy O. BAUM. Understanding bioinformatics. New York, N.Y.: Garland Science, 2008, xxiii, 772. ISBN 9780815340249. info
Teaching methods
student presentations and discussion
Assessment methods
Each student will be evaluated based on his presentation of the studied paper. Those absent from presentations will take an oral exam of topics covered during the semester.
Language of instruction
English
Follow-Up Courses
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
Teacher's information
http://www.fi.muni.cz/~lexa/
The course is also listed under the following terms Spring 2005, Spring 2006, Spring 2007, Spring 2008, Spring 2009, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

IV106 Bionformatics seminar

Faculty of Informatics
Spring 2009
Extent and Intensity
0/1/0. 1 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
Teacher(s)
doc. Ing. Matej Lexa, Ph.D. (lecturer)
Guaranteed by
prof. Ing. Václav Přenosil, CSc.
Department of Machine Learning and Data Processing – Faculty of Informatics
Timetable
Tue 9:00–9:50 B411
Prerequisites
Those who sign up for this interdisciplinary course should be able to read and comprehend a scientific paper or book chapter written in English. Deeper knowledge of algorithm design and programming will allow the particular student to focus more on the biological side of the studied problems or vice versa. Students of non-biological fields should be concurrently enrolled in, or have previously passed IV107 Bioinformatics I. Alternatively they may frequent the course with the consent of the teacher.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 37 fields of study the course is directly associated with, display
Course objectives
This seminar is a new applied subject available at the Faculty of Informatics. It will lead the students into the fascinating world of molecules, genes and proteins. The Spring Term seminar will be titled "Genomic sequence analysis for detection of genes, promoter sequences and other elements". The course will convene for 1hr weekly. Every student that presents his material and receives at least 50% of the maximal score on the final test will pass the course.
Syllabus
  • Students will chose publications to study recent methods in genomic sequence analysis (using suggested journal articles or other material approved by the teacher).
Assessment methods (in Czech)
Studenti samostatně nastudují a prezentují svým kolegům konkrétní metodu pro předpovídání elementů genomových sekvencí. Na konci kurzu absolvují studenti krátký kontrolní test. Kolokvium absolvuje každý student, který odprezentuje nastudovanou metodu a získá nejméně 50% bodů na kontrolním testu.
Language of instruction
English
Follow-Up Courses
Further Comments
The course is taught annually.
Teacher's information
http://www.fi.muni.cz/~lexa/
The course is also listed under the following terms Spring 2005, Spring 2006, Spring 2007, Spring 2008, Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

IV106 Bionformatics seminar

Faculty of Informatics
Spring 2008
Extent and Intensity
0/1/0. 1 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
Teacher(s)
doc. Ing. Matej Lexa, Ph.D. (lecturer)
Guaranteed by
prof. Ing. Václav Přenosil, CSc.
Department of Machine Learning and Data Processing – Faculty of Informatics
Timetable
Tue 12:00–12:50 B411
Prerequisites
Those who sign up for this interdisciplinary course should be able to read and comprehend a scientific paper or book chapter written in English. Deeper knowledge of algorithm design and programming will allow the particular student to focus more on the biological side of the studied problems or vice versa. Students of non-biological fields should be concurrently enrolled in, or have previously passed IV107 Bioinformatics I. Alternatively they may frequent the course with the consent of the teacher.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 37 fields of study the course is directly associated with, display
Course objectives
This seminar is a new applied subject available at the Faculty of Informatics. It will lead the students into the fascinating world of molecules, genes and proteins. The Spring Term seminar will be titled "Genomic sequence analysis for detection of genes, promoter sequences and other elements". The course will convene for 1hr weekly. Every student that presents his material and receives at least 50% of the maximal score on the final test will pass the course.
Syllabus
  • Students will chose publications to study recent methods in genomic sequence analysis (using suggested journal articles or other material approved by the teacher).
Assessment methods (in Czech)
Studenti samostatně nastudují a prezentují svým kolegům konkrétní metodu pro předpovídání elementů genomových sekvencí. Na konci kurzu absolvují studenti krátký kontrolní test. Kolokvium absolvuje každý student, který odprezentuje nastudovanou metodu a získá nejméně 50% bodů na kontrolním testu.
Language of instruction
English
Follow-Up Courses
Further Comments
Study Materials
The course is taught annually.
Teacher's information
http://www.fi.muni.cz/~lexa/
The course is also listed under the following terms Spring 2005, Spring 2006, Spring 2007, Spring 2009, Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

IV106 Bionformatics seminar

Faculty of Informatics
Spring 2007
Extent and Intensity
0/1/0. 1 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
Teacher(s)
doc. Ing. Matej Lexa, Ph.D. (lecturer)
Guaranteed by
prof. Ing. Václav Přenosil, CSc.
Department of Machine Learning and Data Processing – Faculty of Informatics
Timetable
Tue 12:00–12:50 B411
Prerequisites
Those who sign up for this interdisciplinary course should be able to read and comprehend a scientific paper or book chapter written in English. Deeper knowledge of algorithm design and programming will allow the particular student to focus more on the biological side of the studied problems or vice versa. Students of non-biological fields should be concurrently enrolled in, or have previously passed IV107 Bioinformatics I. Alternatively they may frequent the course with the consent of the teacher.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 18 fields of study the course is directly associated with, display
Course objectives
This seminar is a new applied subject available at the Faculty of Informatics. It will lead the students into the fascinating world of molecules, genes and proteins. The Spring Term seminar will be titled "Genomic sequence analysis for detection of genes, promoter sequences and other elements". The course will convene for 1hr weekly. Every student that presents his material and receives at least 50% of the maximal score on the final test will pass the course.
Syllabus
  • Students will chose publications to study recent methods in genomic sequence analysis (using suggested journal articles or other material approved by the teacher).
Assessment methods (in Czech)
Studenti samostatně nastudují a prezentují svým kolegům konkrétní metodu pro předpovídání elementů genomových sekvencí. Na konci kurzu absolvují studenti krátký kontrolní test. Kolokvium absolvuje každý student, který odprezentuje nastudovanou metodu a získá nejméně 50% bodů na kontrolním testu.
Language of instruction
Czech
Follow-Up Courses
Further Comments
The course is taught annually.
Teacher's information
http://www.fi.muni.cz/~lexa/
The course is also listed under the following terms Spring 2005, Spring 2006, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

IV106 Bionformatics seminar

Faculty of Informatics
Spring 2006
Extent and Intensity
0/1/0. 1 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
Teacher(s)
doc. Ing. Matej Lexa, Ph.D. (lecturer)
Guaranteed by
prof. Ing. Václav Přenosil, CSc.
Department of Machine Learning and Data Processing – Faculty of Informatics
Timetable
Tue 13:00–13:50 B411
Prerequisites
Those who sign up for this interdisciplinary course should be able to read and comprehend a scientific paper or book chapter written in English. Deeper knowledge of algorithm design and programming will allow the particular student to focus more on the biological side of the studied problems or vice versa. Students of non-biological fields should be concurrently enrolled in, or have previously passed IV107 Bioinformatics I. Alternatively they may frequent the course with the consent of the teacher.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 18 fields of study the course is directly associated with, display
Course objectives
This seminar is a new applied subject available at the Faculty of Informatics. It will lead the students into the fascinating world of molecules, genes and proteins. The Spring Term seminar will be titled "Genomic sequence analysis for detection of genes, promoter sequences and other elements". The course will convene for 1hr weekly. Every student that presents his material and receives at least 50% of the maximal score on the final test will pass the course.
Syllabus
  • Students will chose publications to study recent methods in genomic sequence analysis (using suggested journal articles or other material approved by the teacher).
Assessment methods (in Czech)
Studenti samostatně nastudují a prezentují svým kolegům konkrétní metodu pro předpovídání elementů genomových sekvencí. Na konci kurzu absolvují studenti krátký kontrolní test. Kolokvium absolvuje každý student, který odprezentuje nastudovanou metodu a získá nejméně 50% bodů na kontrolním testu.
Language of instruction
Czech
Follow-Up Courses
Further Comments
The course is taught annually.
Teacher's information
http://www.fi.muni.cz/~lexa/
The course is also listed under the following terms Spring 2005, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.

IV106 Bionformatics seminar

Faculty of Informatics
Spring 2005
Extent and Intensity
0/1/0. 1 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
Teacher(s)
doc. Ing. Matej Lexa, Ph.D. (lecturer)
Guaranteed by
prof. PhDr. Karel Pala, CSc.
Department of Machine Learning and Data Processing – Faculty of Informatics
Timetable
Tue 11:00–11:50 B411
Prerequisites
Those who sign up for this interdisciplinary course should be able to read and comprehend a scientific paper or book chapter written in English. Deeper knowledge of algorithm design and programming will allow the particular student to focus more on the biological side of the studied problems or vice versa. Students of non-biological fields should be concurrently enrolled in, or have previously passed IV107 Bioinformatics I. Alternatively they may frequent the course with the consent of the teacher.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 18 fields of study the course is directly associated with, display
Course objectives
This seminar is a new applied subject available at the Faculty of Informatics. It will lead the students into the fascinating world of molecules, genes and proteins. The Spring Term seminar will be titled "Genomic sequence analysis for detection of genes, promoter sequences and other elements". The course will convene for 1hr weekly. Every student that presents his material and receives at least 50% of the maximal score on the final test will pass the course.
Syllabus
  • Students will chose publications to study recent methods in genomic sequence analysis (using suggested journal articles or other material approved by the teacher).
Assessment methods (in Czech)
Studenti samostatně nastudují a prezentují svým kolegům konkrétní metodu pro předpovídání elementů genomových sekvencí. Na konci kurzu absolvují studenti krátký kontrolní test. Kolokvium absolvuje každý student, který odprezentuje nastudovanou metodu a získá nejméně 50% bodů na kontrolním testu.
Language of instruction
Czech
Follow-Up Courses
Further Comments
The course is taught annually.
Teacher's information
http://www.fi.muni.cz/~lexa/
The course is also listed under the following terms Spring 2006, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.