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Algorithms in Genome Research
Contents
This class covers the basic algorithmic techniques used in the computational analysis of genome and post-genome data. This includes algorithms for genomic mapping and assembly, methods for functional genome annotation (gene finding and gene function prediction), algorithms for the analysis of DNA microarrays and mass spectra, methods and models for protein structure prediction, and algorithms for comparative genomics.
Literature
The page AlgGRLiterature contains many links to the original literature.
Time table
| Date | Topic | Exercises/Addenda |
| 11.10.2019 | Introduction, logistics (M) | – |
| 18.10.2019 | Genome Assembly 1 (M) | Exercises 1 |
| 25.10.2019 | Genome Assembly 2 (M) | Exercises 2 |
| 01.11.2019 | (Allerheiligen) | |
| 08.11.2019 | Genome Assembly 3 (M) | Exercises 3 |
| 15.11.2019 | Physical Mapping (D) | Exercises 4 |
| 22.11.2019 | Hi-C Data Analysis 1 (D) | – |
| 29.11.2019 | Hi-C Data Analysis 2 (D) | Exercises 5 |
| 06.12.2019 | Conservation Ecology (D) | Linear Programs |
| 09.12.2019 | Perfect Phylogeny and Cancer (D) | Exercises 6, Integer Linear Programs |
| 20.12.2019 | Metagenomics (R) | Exercises 7 |
| (X-mas break) | ||
| 10.01.2020 | Haplotype Inference (D) | Exercises 8 |
| 17.01.2020 | Double-Cut-And-Join (D) | Exercises 9, Lecture Notes |
| 24.01.2020 | Inversions (M) | Exercises 10b |
| 31.01.2020 | SCJ (M) | – |
Examination dates
February 27, 2020
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teaching/2019winter/alggr.txt · Last modified: 2020/06/08 11:55 by ddoerr
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