E7492 DNA Sequence Analysis

Faculty of Science
Autumn 2023
Extent and Intensity
2/1/0. 3 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
Teacher(s)
doc. Mgr. Natália Martínková, Ph.D. (lecturer)
Guaranteed by
doc. Mgr. Natália Martínková, Ph.D.
RECETOX – Faculty of Science
Contact Person: doc. Mgr. Natália Martínková, Ph.D.
Supplier department: RECETOX – Faculty of Science
Timetable
Fri 8:00–10:50 F01B1/709
Prerequisites
Students need to understand basic principles of molecular biology and genetics.
Course Enrolment Limitations
The course is offered to students of any study field.
The capacity limit for the course is 30 student(s).
Current registration and enrolment status: enrolled: 1/30, only registered: 0/30, only registered with preference (fields directly associated with the programme): 0/30
Course objectives
The goal of the course is to teach the student to assemble DNA sequences, to understand the structure and use of genetic databases, to evaluate a DNA sequence and to identify it with respect to the biodiversity context using phylogenetic analyses.
Learning outcomes
After completing the course the student will be able:
- to formulate a hypothesis and to test it;
- to use information available in genetic databases;
- to identify an unknown sequence by searching the genetic databases and comparing the hits with suitable BLAST algorithms;
- to evaluate the sequence identification;
- to calculate genetic distances, using suitable substitution model;
- to reconstruct phylogenetic trees, using distance methods, maximum parsimony, maximum likelihood and Bayesian inference;
- to interpret phylogenetic relationships in a sequence dataset and critically evaluate conflicting results.
Syllabus
  • 1. Genomics: (a) Genomes, genome organisation, variability, (b) Genome sequencing – next-gen sequencing, pyrosequencing, sequencing by ligation.
  • 2. Genome assembly: (a) De-novo, resequencing, mutation detection, (b) Contig, length and number of contigs, (c) Parameters of contig assembly, (d) Coverage – variability detection.
  • 3. Sequence search: (a) GenBank, EMBL, DDBJ, UniProt, (b) Entréz, SRS, (c) Libraries, cross-referencing.
  • 4. BLAST: (a) nucleotide and protein blast, megablast, psi-blast, (b) Search principle, (c) Result evaluation, E-value.
  • 5. Genomic sequence annotation: (a) RNA prediction, (b) Genomic islands, (c) Protein prediction – Prokaryota.
  • 6. Genomic sequence annotation: (a) Protein prediction – Eukaryota, (b) CpG islands, (c) Annotation report.
  • 7. Alignment: (a) Homologous positions, (b) Local, global alignment – assembly options, (c) Dynamic programming.
  • 8. Relationship modelling: (a) Phylogenetic tree - terminology, interpretation, (b) Tree comparison.
  • 9. Substitution model: (a) Genetic distances, (b) Model parameters, (c) Problems and solutions.
  • 10. Phylogenetics: (a) Phylogenetic analysis – neighbour-joining, maximum parsimony, (b) Significance of signal, bootstrap.
  • 11. Maximum likelihood: (a) Likelihood function, (b) Randomised accelerated maximum likelihood.
  • 12. Bayesian analysis: (a) Posterior probability, (b) Effect of priors on posterior distribution, (c) Convergence, Metropolis-coupled MCMC.
  • 13. Gene and species evolution: (a) Supermatrix, (b) Supertrees, (c) Bayesian estimation of species trees.
  • 14. Visualisation.
Literature
  • FELSENSTEIN, Joseph. Inferring phylogenies. Sunderland, Mass.: Sinauer Associates, 2004, xx, 664. ISBN 0878931775. info
  • CVRČKOVÁ, Fatima. Úvod do praktické bioinformatiky. Vyd. 1. Praha: Academia, 2006, 148 s. ISBN 8020013601. info
  • ZIMA, Jan. Genetické metody v zoologii. 1. vyd. Praha: Karolinum, 2004, 239 s. ISBN 8024607956. info
Teaching methods
Lectures, discussion, in-class data analysis.
Assessment methods
Five-minute tests throughout the course, final project based on student's design, verbal interpretation of the project for the final exam, final written test.
Language of instruction
English
Further Comments
Study Materials
The course is taught annually.
Teacher's information
http://www.youtube.com/watch?v=suQSmEToTdo
The course is also listed under the following terms Autumn 2022, Autumn 2024.
  • Enrolment Statistics (Autumn 2023, recent)
  • Permalink: https://is.muni.cz/course/sci/autumn2023/E7492