Course Information

IV105 Bionformatics seminar

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

Timetable

Wed 25. 9. to Wed 18. 12. Wed 16:00–16:50 A319

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. Alternatively computational tools in bioinformatics will be studied (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 36 fields of study the course is directly associated with, display

Course objectives

A bioinformatics course opening up the world of genes and molecules to students via external lecturers and student presentations organized as a journal club.

Learning outcomes

Students will gain insight into problems studied in bioinformatics; they will practice presentation and discussion techniques in front of an audience.

Syllabus

• The students will chose publications to study recent methods in genomic sequence analysis (using suggested journal articles or other material approved by the teacher) covering
• Nanopore DNA sequencing methods
• Tools and algorithms for processing and analysis of long/nanopore reads
• Genomic and biological studies based on nanopore sequencing

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 presentation and class discussion; lectures by external hosts

Assessment methods

Student presentation; written summary of a lecture

Language of instruction

Czech

Follow-Up Courses

• IV106 Bioinformatics seminar
• IV108 Bioinformatics II

Further comments (probably available only in Czech)

Study Materials
The course is taught annually.

IV105 Bionformatics seminar

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 read and comprehend a scientific paper or book chapter written in English. Alternatively computational tools in bioinformatics will be studied (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 85 fields of study the course is directly associated with, display

Course objectives

A bioinformatics course opening up the world of genes and molecules to students via external lecturers and student presentations organized as a journal club.

Learning outcomes

Students will gain insight into problems studied in bioinformatics; they will practice presentation and discussion techniques in front of an audience.

Syllabus

• The students will chose publications to study recent methods in genomic sequence analysis (using suggested journal articles or other material approved by the teacher) covering
• Nanopore DNA sequencing methods
• Tools and algorithms for processing and analysis of long/nanopore reads
• Genomic and biological studies based on nanopore sequencing

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 presentation and class discussion; lectures by external hosts

Assessment methods

Student presentation; written summary of a lecture

Language of instruction

Czech

Follow-Up Courses

• IV106 Bioinformatics seminar
• IV108 Bioinformatics II

Further comments (probably available only in Czech)

Study Materials
The course is taught annually.

IV105 Bionformatics seminar

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)
Mgr. Monika Čechová, 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 read and comprehend a scientific paper or book chapter written in English. Alternatively computational tools in bioinformatics will be studied (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 85 fields of study the course is directly associated with, display

Course objectives

A bioinformatics course opening up the world of genes and molecules to students via external lecturers and student presentations organized as a journal club.

Learning outcomes

Students will gain insight into problems studied in bioinformatics; they will practice presentation and discussion techniques in front of an audience.

Syllabus

• The students will chose publications to study recent methods in genomic sequence analysis (using suggested journal articles or other material approved by the teacher) covering
• Nanopore DNA sequencing methods
• Tools and algorithms for processing and analysis of long/nanopore reads
• Genomic and biological studies based on nanopore sequencing

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 presentation and class discussion; lectures by external hosts

Assessment methods

Student presentation; written summary of a lecture

Language of instruction

Czech

Follow-Up Courses

• IV106 Bioinformatics seminar
• IV108 Bioinformatics II

Further comments (probably available only in Czech)

Study Materials
The course is taught annually.

IV105 Bionformatics seminar

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. 9. to Wed 8. 12. Wed 16:00–16:50 A319

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. Alternatively computational tools in bioinformatics will be studied (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 85 fields of study the course is directly associated with, display

Course objectives

A bioinformatics course opening up the world of genes and molecules to students via external lecturers and student presentations organized as a journal club.

Learning outcomes

Students will gain insight into problems studied in bioinformatics; they will practice presentation and discussion techniques in front of an audience.

Syllabus

• The students will chose publications to study recent methods in genomic sequence analysis (using suggested journal articles or other material approved by the teacher) covering
• Nanopore DNA sequencing methods
• Tools and algorithms for processing and analysis of long/nanopore reads
• Genomic and biological studies based on nanopore sequencing

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 presentation and class discussion; lectures by external hosts

Assessment methods

Student presentation; written summary of a lecture

Language of instruction

Czech

Follow-Up Courses

• IV106 Bioinformatics seminar
• IV108 Bioinformatics II

Further comments (probably available only in Czech)

Study Materials
The course is taught annually.

IV105 Bionformatics seminar

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 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. Alternatively computational tools in bioinformatics will be studied. 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 85 fields of study the course is directly associated with, display

Course objectives

The Fall Term seminar (P series) will be titled "Prediction of protein function and structure from sequence". The course will convene for 1hr weekly.

Learning outcomes

Students will gain insight into problems studied in bioinformatics; they will practice presentation and discussion techniques in front of an audience.

Syllabus

• The students will chose publications to study recent methods in genomic sequence analysis (using suggested journal articles or other material approved by the teacher).
• Protein structure and function prediction from sequence
• Similarity of protein molecules
• Signalling and metabolic pathway analysis and visualization

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 presentation and class discussion

Assessment methods

Student presentation.

Language of instruction

Czech

Follow-Up Courses

• IV106 Bioinformatics seminar
• IV108 Bioinformatics II

Further comments (probably available only in Czech)

Study Materials
The course is taught annually.

Teacher's information

http://www.fi.muni.cz/~lexa/teaching.html

IV105 Bionformatics seminar

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

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. Alternatively computational tools in bioinformatics will be studied. 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 85 fields of study the course is directly associated with, display

Course objectives

The Fall Term seminar (P series) will be titled "Prediction of protein function and structure from sequence". The course will convene for 1hr weekly.

Learning outcomes

Students will gain insight into problems studied in bioinformatics; they will practice presentation and discussion techniques in front of an audience.

Syllabus

• The students will chose publications to study recent methods in genomic sequence analysis (using suggested journal articles or other material approved by the teacher).
• Protein structure and function prediction from sequence
• Similarity of protein molecules
• Signalling and metabolic pathway analysis and visualization

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 presentation and class discussion

Assessment methods

Student presentation.

Language of instruction

Czech

Follow-Up Courses

• IV106 Bioinformatics seminar
• IV108 Bioinformatics II

Further comments (probably available only in Czech)

Study Materials
The course is taught annually.

Teacher's information

http://www.fi.muni.cz/~lexa/teaching.html

IV105 Bioinformatics seminar

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 17. 9. to Mon 10. 12. Mon 15:00–15:50 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. Alternatively computational tools in bioinformatics will be studied. 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 48 fields of study the course is directly associated with, display

Course objectives

The Fall Term seminar (P series) will be titled "Prediction of protein function and structure from sequence". The course will convene for 1hr weekly.
Students will gain insight into problems studied in bioinformatics; they will practice presentation and discussion techniques in front of an audience.

Syllabus

• The students will chose publications to study recent methods in genomic sequence analysis (using suggested journal articles or other material approved by the teacher).
• Protein structure and function prediction from sequence
• Similarity of protein molecules
• Signalling and metabolic pathway analysis and visualization

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 presentation and class discussion

Assessment methods

Student presentation.

Language of instruction

Czech

Follow-Up Courses

• IV106 Bioinformatics seminar
• IV108 Bioinformatics II

Further comments (probably available only in Czech)

Study Materials
The course is taught annually.

Teacher's information

http://www.fi.muni.cz/~lexa/teaching.html

IV105 Bionformatics seminar

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. Alternatively computational tools in bioinformatics will be studied. 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 48 fields of study the course is directly associated with, display

Course objectives

The Fall Term seminar (P series) will be titled "Prediction of protein function and structure from sequence". The course will convene for 1hr weekly.
Students will gain insight into problems studied in bioinformatics; they will practice presentation and discussion techniques in front of an audience.

Syllabus

• The students will chose publications to study recent methods in genomic sequence analysis (using suggested journal articles or other material approved by the teacher).
• Protein structure and function prediction from sequence
• Similarity of protein molecules
• Signalling and metabolic pathway analysis and visualization

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 presentation and class discussion

Assessment methods

Student presentation.

Language of instruction

Czech

Follow-Up Courses

• IV106 Bioinformatics seminar
• IV108 Bioinformatics II

Further comments (probably available only in Czech)

Study Materials
The course is taught annually.

Teacher's information

http://www.fi.muni.cz/~lexa/teaching.html

IV105 Bionformatics seminar

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 12:00–13:50 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. Alternatively computational tools in bioinformatics will be studied. 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 48 fields of study the course is directly associated with, display

Course objectives

The Fall Term seminar (P series) will be titled "Prediction of protein function and structure from sequence". The course will convene for 1hr weekly.
Students will gain insight into problems studied in bioinformatics; they will practice presentation and discussion techniques in front of an audience.

Syllabus

• The students will chose publications to study recent methods in genomic sequence analysis (using suggested journal articles or other material approved by the teacher).
• Protein structure and function prediction from sequence
• Similarity of protein molecules
• Signalling and metabolic pathway analysis and visualization

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 presentation and class discussion

Assessment methods

Student presentation.

Language of instruction

Czech

Follow-Up Courses

• IV106 Bioinformatics seminar
• IV108 Bioinformatics II

Further comments (probably available only in Czech)

Study Materials
The course is taught annually.

Teacher's information

http://www.fi.muni.cz/~lexa/teaching.html

IV105 Bionformatics seminar

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 18:00–19:50 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. Alternatively computational tools in bioinformatics will be studied. 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 48 fields of study the course is directly associated with, display

Course objectives

The Fall Term seminar (P series) will be titled "Prediction of protein function and structure from sequence". The course will convene for 1hr weekly.
Students will gain insight into problems studied in bioinformatics; they will practice presentation and discussion techniques in front of an audience.

Syllabus

• The students will chose publications to study recent methods in genomic sequence analysis (using suggested journal articles or other material approved by the teacher).
• Protein structure and function prediction from sequence
• Similarity of protein molecules
• Signalling and metabolic pathway analysis and visualization

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 presentation and class discussion

Assessment methods

Student presentation.

Language of instruction

Czech

Follow-Up Courses

• IV106 Bioinformatics seminar
• IV108 Bioinformatics II

Further comments (probably available only in Czech)

Study Materials
The course is taught annually.

Teacher's information

http://www.fi.muni.cz/~lexa/teaching.html

IV105 Bionformatics seminar

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 C511

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. Alternatively computational tools in bioinformatics will be studied. 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 47 fields of study the course is directly associated with, display

Course objectives

The Fall Term seminar (P series) will be titled "Prediction of protein function and structure from sequence". The course will convene for 1hr weekly.
Students will gain insight into problems studied in bioinformatics; they will practice presentation and discussion techniques in front of an audience.

Syllabus

• The students will chose publications to study recent methods in genomic sequence analysis (using suggested journal articles or other material approved by the teacher).
• Protein structure and function prediction from sequence
• Similarity of protein molecules
• Signalling and metabolic pathway analysis and visualization

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 presentation and class discussion

Assessment methods

Student presentation.

Language of instruction

Czech

Follow-Up Courses

• IV106 Bioinformatics seminar
• IV108 Bioinformatics II

Further comments (probably available only in Czech)

Study Materials
The course is taught annually.

Teacher's information

http://www.fi.muni.cz/~lexa/teaching.html

IV105 Bionformatics seminar

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 of Seminar Groups

IV105/01: Mon 14:00–14:50 B411, M. Lexa

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. Alternatively computational tools in bioinformatics will be studied. 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 47 fields of study the course is directly associated with, display

Course objectives

The Fall Term seminar (P series) will be titled "Prediction of protein function and structure from sequence". The course will convene for 1hr weekly.
Students will gain insight into problems studied in bioinformatics; they will practice presentation and discussion techniques in front of an audience.

Syllabus

• The students will chose publications to study recent methods in genomic sequence analysis (using suggested journal articles or other material approved by the teacher).
• Protein structure and function prediction from sequence
• Similarity of protein molecules
• Signalling and metabolic pathway analysis and visualization

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 presentation and class discussion

Assessment methods

Student presentation.

Language of instruction

Czech

Follow-Up Courses

• IV106 Bioinformatics seminar
• IV108 Bioinformatics II

Further comments (probably available only in Czech)

Study Materials
The course is taught annually.

Teacher's information

http://www.fi.muni.cz/~lexa/teaching.html

IV105 Bionformatics seminar

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

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. Alternatively computational tools in bioinformatics will be studied. 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 47 fields of study the course is directly associated with, display

Course objectives

The Fall Term seminar (P series) will be titled "Prediction of protein function and structure from sequence". The course will convene for 1hr weekly.
Students will gain insight into problems studied in bioinformatics; they will practice presentation and discussion techniques in front of an audience.

Syllabus

• The students will chose publications to study recent methods in genomic sequence analysis (using suggested journal articles or other material approved by the teacher).
• Protein structure and function prediction from sequence
• Similarity of protein molecules
• Signalling and metabolic pathway analysis and visualization

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 presentation and class discussion

Assessment methods

Student presentation.

Language of instruction

Czech

Follow-Up Courses

• IV106 Bioinformatics seminar
• IV108 Bioinformatics II

Further comments (probably available only in Czech)

Study Materials
The course is taught annually.

Teacher's information

http://www.fi.muni.cz/~lexa/teaching.html

IV105 Bionformatics seminar

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 47 fields of study the course is directly associated with, display

Course objectives

The Fall Term seminar (P series) will be titled "Prediction of protein function and structure from sequence". The course will convene for 1hr weekly.
Students will gain insight into problems studied in bioinformatics; they will practice presentation and discussion techniques in front of an audience.

Syllabus

• The students will chose publications to study recent methods in genomic sequence analysis (using suggested journal articles or other material approved by the teacher).
• Protein structure and function prediction from sequence
• Similarity of protein molecules
• Signalling and metabolic pathway analysis and visualization

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 presentation and class discussion

Assessment methods

Student presentation.

Language of instruction

Czech

Follow-Up Courses

• IV106 Bioinformatics seminar
• IV108 Bioinformatics II

Further comments (probably available only in Czech)

Study Materials
The course is taught annually.

Teacher's information

http://www.fi.muni.cz/~lexa/teaching.html

IV105 Bionformatics seminar

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 17:00–17:50 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 45 fields of study the course is directly associated with, display

Course objectives

The Fall Term seminar (P series) will be titled "Prediction of protein function and structure from sequence". The course will convene for 1hr weekly.
Students will gain insight into problems studied in bioinformatics; they will practice presentation and discussion techniques in front of an audience.

Syllabus

• The students will chose publications to study recent methods in genomic sequence analysis (using suggested journal articles or other material approved by the teacher).
• Protein structure and function prediction from sequence
• Similarity of protein molecules
• Signalling and metabolic pathway analysis and visualization

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 presentation and class discussion

Assessment methods

Student presentation.

Language of instruction

Czech

Follow-Up Courses

• IV106 Bioinformatics seminar
• IV108 Bioinformatics II

Further comments (probably available only in Czech)

Study Materials
The course is taught annually.

Teacher's information

http://www.fi.muni.cz/~lexa/teaching.html

IV105 Bionformatics seminar

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 17:00–17:50 B410

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 45 fields of study the course is directly associated with, display

Course objectives

The Fall Term seminar (P series) will be titled "Prediction of protein function and structure from sequence". The course will convene for 1hr weekly.
Students will gain insight into problems studied in bioinformatics; they will practice presentation and discussion techniques in front of an audience.

Syllabus

• The students will chose publications to study recent methods in genomic sequence analysis (using suggested journal articles or other material approved by the teacher).
• Protein structure and function prediction from sequence
• Similarity of protein molecules
• Signalling and metabolic pathway analysis and visualization

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 presentation and class discussion

Assessment methods

Student presentation.

Language of instruction

Czech

Follow-Up Courses

• IV106 Bioinformatics seminar
• IV108 Bioinformatics II

Further comments (probably available only in Czech)

Study Materials
The course is taught annually.

Teacher's information

http://www.fi.muni.cz/~lexa/teaching.html

IV105 Bionformatics seminar

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 16:00–16:50 B204

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 38 fields of study the course is directly associated with, display

Course objectives

This seminar is an applied subject that will lead the students into the fascinating world of molecules, genes and proteins by studz of new methods presented in scientific papers. The Fall Term seminar (P series) will be titled "Prediction of protein function and structure from sequence". The course will convene for 1hr weekly. The student will chose, study and present an appropriate papers chosen in cooperation with the lecturer.

Syllabus

• The students will chose publications to study recent methods in genomic sequence analysis (using suggested journal articles or other material approved by the teacher).

Literature

• ZVELEBIL, Marketa J. and Jeremy O. BAUM. Understanding bioinformatics. New York, N.Y.: Garland Science, 2008, xxiii, 772. ISBN 9780815340249. info

Assessment methods

Oral presentation.

Language of instruction

Czech

Follow-Up Courses

• IV106 Bioinformatics seminar
• IV108 Bioinformatics II

Further Comments

The course is taught annually.

Teacher's information

http://www.fi.muni.cz/~lexa/teaching.html

IV105 Bionformatics seminar

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 17:00–17:50 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 38 fields of study the course is directly associated with, display

Course objectives

This seminar is an applied subject that will lead the students into the fascinating world of molecules, genes and proteins. The Fall Term seminar (P series) will be titled "Prediction of protein function and structure from sequence". 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

• The 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 funkce nebo struktury proteinů. 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

• IV106 Bioinformatics seminar
• IV108 Bioinformatics II

Further Comments

The course is taught annually.

Teacher's information

http://www.fi.muni.cz/~lexa/teaching.html

IV105 Bionformatics seminar

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 18 fields of study the course is directly associated with, display

Course objectives

This seminar is an applied subject that will lead the students into the fascinating world of molecules, genes and proteins. The Fall Term seminar (P series) will be titled "Prediction of protein function and structure from sequence". 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

• The 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 funkce nebo struktury proteinů. 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

• IV106 Bioinformatics seminar
• IV108 Bioinformatics II

Further Comments

The course is taught annually.

Teacher's information

http://www.fi.muni.cz/~lexa/teaching.html

IV105 Bionformatics seminar

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 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 an applied subject that will lead the students into the fascinating world of molecules, genes and proteins. The Fall Term seminar (P series) will be titled "Prediction of protein function and structure from sequence". 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

• The 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 funkce nebo struktury proteinů. 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

• IV106 Bioinformatics seminar
• IV108 Bioinformatics II

Further Comments

The course is taught annually.

Teacher's information

http://www.fi.muni.cz/~lexa/teaching.html

IV105 Bionformatics seminar

Extent and Intensity

1/0/1. 2 credit(s) (plus extra credits for completion). Recommended Type of Completion: k (colloquium). Other types of completion: z (credit).

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 11:00–12:50 B411

Prerequisites

Those who sign up for this interdisciplinary course should have at least basic level of programming skills, or should be willing /able to aquire them during the semester (this will not be part of the course). The students will also need 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. The programming languages and environment used by the student is arbitrary, Perl and C/C++ running under Unix are the most commonly used and preferred).

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 Fall 2004 seminar will be titled "Protein function and structure prediction from amino-acid sequence". The course will convene for 2hrs weekly. Every student that successfully presents his material and receives at least 50% of the maximal score on the tests will earn 2 credits for the course. An extra credit is given for successful presentation of the student's program.

Syllabus

• Initially, students will be made familiar with the basics of molecular biology necessary for further work. Specific issues of work with mass biological data will be reviewed. Later on into the course, students will study (individually or in pairs) specific published approaches in protein structure and function prediction. In the last few weeks each student will develop their own tool for bioinformatic analysis and present it to their colleagues during a student mini-conference (poster and a 10-minute presentation of a working program). After each of the first two parts of the course a short test will be given.

Assessment methods (in Czech)

Studenti relativně samostatně (maximálně ve dvou) nastudují a prezentují svým kolegům konkrétní metodu pro předpovídání funkce nebo struktury dle vlastního výběru. V závěru semináře budou studenti pracovat na vlastních algoritmech a jejich prezentaci ve formě studentské mini-konference (poster a 10-minutova prezentace funkčního programu). Po první a druhé části kurzu absolvují studenti krátký kontrolní test.

Language of instruction

Czech

Further Comments

The course is taught annually.

Teacher's information

http://www.fi.muni.cz/~lexa/

IV105 Bionformatics seminar

The course is not taught in 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

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 an applied subject that will lead the students into the fascinating world of molecules, genes and proteins. The Fall Term seminar (P series) will be titled "Prediction of protein function and structure from sequence". 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

• The 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 funkce nebo struktury proteinů. 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

• IV106 Bioinformatics seminar
• IV108 Bioinformatics II

Further Comments

The course is taught annually.
The course is taught: every week.

Teacher's information

http://www.fi.muni.cz/~lexa/

• Enrolment Statistics (recent)