Abstract
Sequence alignment (the grouping of homologous bases into one column) is fundamental to almost any task in comparative genomics. This translates to positing gaps in the genomic sequences to account for events of insertions and deletions (indels). The interrelationship between sequence alignment and phylogenetic reconstruction has drawn substantial attention recently with works showing the significance of differences in alignments. One of the plausible approaches in this direction is to grade the suitability of a tree to an associated alignment and vice verse. We here present a combinatorial (as opposed to statistical) approach based on the indel history. We show - both by simulations and by using real biological data from the Encyclopedia of DNA Elements (ENCODE) - that this criterion is sound. The novelty of our approach is the distinguishing between insertions and deletions, and augmenting the analysis with a dimension of "depth," extending it from the sequence space to the phylogenetic space. Using this approach, we perform a comprehensive study of indel characteristic behavior among mammals in both coding and non-coding regions. Our results show significant differences in indel patterns between coding and non-coding regions. We also show other characteristic patterns of indel evolution in the depth of the underlying phylogeny.
Original language | English |
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Pages (from-to) | 967-986 |
Number of pages | 20 |
Journal | Journal of Computational Biology |
Volume | 18 |
Issue number | 8 |
DOIs | |
State | Published - 1 Aug 2011 |
Keywords
- algorithms
- biology
- computational molecular biology evolution
ASJC Scopus subject areas
- Modeling and Simulation
- Molecular Biology
- Genetics
- Computational Mathematics
- Computational Theory and Mathematics