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Measuring guide-tree dependency of inferred gaps in progressive aligners
- Source :
- Bioinformatics
- Publication Year :
- 2013
- Publisher :
- Oxford University Press (OUP), 2013.
-
Abstract
- Motivation: Multiple sequence alignments are generally reconstructed using a progressive approach that follows a guide-tree. During this process, gaps are introduced at a cost to maximize residue pairing, but it is unclear whether inferred gaps reflect actual past events of sequence insertions or deletions. It has been found that patterns of inferred gaps in alignments contain information towards the true phylogeny, but it is as yet unknown whether gaps are simply reflecting information that was already present in the guide-tree. Results: We here develop a framework to disentangle the phylogenetic signal carried by gaps from that which is already present in the guide-tree. Our results indicate that most gaps are incorrectly inserted in patterns that, nevertheless, follow the guide-tree. Thus, most gap patterns in current alignments are not informative per se. This affects different programs to various degrees, PRANK being the most sensitive to the guide-tree. Contact: tgabaldon@crg.es Supplementary information: Supplementary data are available at Bioinformatics online.
- Subjects :
- 0106 biological sciences
Statistics and Probability
Biology
computer.software_genre
Bioinformatics
010603 evolutionary biology
01 natural sciences
Biochemistry
03 medical and health sciences
Sequence Insertions
Molecular Biology
Phylogeny
030304 developmental biology
Supplementary data
0303 health sciences
Phylogenetic tree
business.industry
Original Papers
Computer Science Applications
Phylogenetics
Computational Mathematics
Computational Theory and Mathematics
Artificial intelligence
business
Sequence Alignment
computer
Natural language processing
Subjects
Details
- ISSN :
- 13674811 and 13674803
- Volume :
- 29
- Database :
- OpenAIRE
- Journal :
- Bioinformatics
- Accession number :
- edsair.doi.dedup.....213a5e6bd7799b879dea49b2389865e3
- Full Text :
- https://doi.org/10.1093/bioinformatics/btt095