Algorithms in Bioinformatics

Phylogenetic Networks

Title Phylogenetic Networks, SoSe 2013
Lectures Prof. Daniel Huson and Dr. Cuong Van Than
Venue Thursdays, 8:30-10:00, Sand 6/7, Hörsaal
Tutorials Fridays, 8:15-10:00, Sand 14, C311
Module MSc Bioinformatik: Wahlpflichtmodul Bioinformatik oder Informatik; MSc Informatik: Wahlpflichtmodul Informatik 4 LP
Grading Mid-term exam (40 %), final exam (40 %), exercises (20 %)
Bibliography Huson, Rupp und Scornavacca, Phylogenetiv Networks, Cambridge University Press, 2010
Language English

Contents

Although many biologists believe that reticulate events such as hybridization, horizontal gene transfer, recombination and reassortment play an important role in evolution, most published studies use trees to represent the evolutionary history for the set of species studied. One reason for this is the lack of robust and accepted methods for inferring non-tree histories or phylogenetic networks. A lot of work has been done in recent years to address this problem. This courses gives an introduction to some of the fundamental concepts and algorithms in phylogenetic networks.

Date Topic Assignment
18.4 1. Introduction and overview Assignment01
25.4 2. Graphs and trees Assignment02
2.5 3. Splits, clusters and compatibility Assignment03
16.5 4. Splits and unrooted networks Assignment04
6.6 5. Consensus trees and networks

Assignment05,

fungal.nex

13.6 6. Planar split networks and neighbor-net Assignment06
20.6 Mid-term exam
27.6 7. Clusters and rooted phylogenetic networks Assignment07
4.7 8. Minimum hybridization networks

Assignment08,

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11.7 9. Drawing networks Assignment09
18.7 10. Buneman graph Assignment10
25.7 Final exam

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