This is an old revision of the document!
Many questions in molecular biology, phylogenetics, and biomedicine can be approached through comparison of two or more genomes. However, a global alignment of multiple large genomes is often infeasible or comes at great expense. It is more efficient to compare genomes on a higher level of abstraction, as given by the succession of single-copy genes or other kinds of unique genomic markers on the chromosomal sequences.
In this course, various models of higher level genome comparison are discussed. We start with the classical breakpoint distance, followed by other simple measures such as SC/J and DCJ. The reversal distance will be discussed, and a general genome rearrangement distance. We will also study methods for the reconstruction of ancestral genomes.
Algorithms discussed in this course are mostly combinatorial by nature, similar to the sequence analysis course.
This course is taught in English.
Required: Algorithms and Data Structures (or comparable)
Recommended: Sequence Analysis and Foundations of Genome Research
Preliminary version of the lecture notes:
Other references are listed below, together with the schedule.
Prof. Istvan Miklos, from Alfréd Rényi Institute in Budapest, kindly shared his visualization software for the Breakpoint Diagram. It is written in Java, and you can download it here.
Usage: java InversionVisualisation file_name
For example: java InversionVisualisation example.txt
The input must be a signed permutation in one line, representing genome A (genome B is assumed to be the identity permutation), the numbers separated with a <tab>. There is an example in the provided archive.
Select the adjacency edges on which the reversal should act, and press the button Mutate. You can go forward and backward in the list of generated genomes, and you can delete any of them, too.
Download the jar-file and run java -jar <jar-file> -g n where n is the number of leaves for the initial PQ-Tree. Select the elements which shall appear consecutively by mouse click and Ctrl or shift in the list on the left side of the window. Then click Reduce to get the resulting tree. Use Reset to get the initial tree again. [Reference: J. Harris. A Graphical Java Implementation of PQ-Trees. www.jharris.ca/portfolio/academic.htm (last visited 09/20/2006), April 2002. Carleton University. Debugged by Roland Wittler, Bielefeld University.]
Date | Teacher | Topic | Literature | Exercises |
---|---|---|---|---|
12.04. | Leonard | Introduction, Genes, Genomes, Breakpoint (BP) distance | Tannier et al. 2009 | Exercises 1 |
19.04. | Leonard | BP and SCJ distance, median (and halving) | Tannier et al. 2009, Feijão & Meidanis 2011 | Exercises 2 |
26.04. | Roland | Small Parsimony under SCJ | Feijão & Meidanis 2011, SPP-algorithm.pdf | Exercises 3 |
03.05. | Roland | Small Parsimony under SCJ | Manuch et al. 2012, Luhmann et al. 2014/2018, MAX-ROW_C1P.pdf | Exercises 4 |
10.05. | Leonard | Double-Cut-and-Join (DCJ) model | Bergeron et al. 2006 | Exercises 5 |
17.05. | Leonard | Genome Halving (SCJ,DCJ) | Feijão & Meidanis 2011, Tannier et al. 2009, Mixtacki 2008, Mixtacki 2008 (alternative) | Exercises 6 |
24.05. | Leonard | Inversion distance | Hannenhalli and Pevzner 1999, Bergeron et al. 2004 | |
31.05. | Leonard | Inversion distance/DCJ-indel distance | Bergeron et al. 2004, Braga et al. 2011 | |
07.06. | Leonard | DCJ-indel distance | Braga et al. 2011, Compeau 2013, Bohnenkämper 2024 (ignore ILP section) | |
14.06. | Roland | Consistency of gene clusters | Slides, Stoye et al. 2009, Wittler et al. 2011 | |
21.06. | Leonard | Rearrangement problems on natural genomes | Shao, Lin & Moret 2015, Bohnenkämper 2024 | |
28.06. | Roland | Generators for common intervals | Bergeron et al. 2008, Sections 1 and 2 | |
05.07. | Roland | Generators, strong common intervals and PQ-trees | see above, Sections 3, 4, 5.1, and 5.3 | |
12.07. | Roland | Common intervals of strings | Didier at al., 2006, Dany Doerr's notes | |
19.07. | Roland | Common intervals of indeterminate strings | Doerr, PhD thesis 2016 |