Literature DB >> 18689823

Segment-based multiple sequence alignment.

Tobias Rausch1, Anne-Katrin Emde, David Weese, Andreas Döring, Cedric Notredame, Knut Reinert.   

Abstract

MOTIVATION: Many multiple sequence alignment tools have been developed in the past, progressing either in speed or alignment accuracy. Given the importance and wide-spread use of alignment tools, progress in both categories is a contribution to the community and has driven research in the field so far.
RESULTS: We introduce a graph-based extension to the consistency-based, progressive alignment strategy. We apply the consistency notion to segments instead of single characters. The main problem we solve in this context is to define segments of the sequences in such a way that a graph-based alignment is possible. We implemented the algorithm using the SeqAn library and report results on amino acid and DNA sequences. The benefit of our approach is threefold: (1) sequences with conserved blocks can be rapidly aligned, (2) the implementation is conceptually easy, generic and fast and (3) the consistency idea can be extended to align multiple genomic sequences. AVAILABILITY: The segment-based multiple sequence alignment tool can be downloaded from http://www.seqan.de/projects/msa.html. A novel version of T-Coffee interfaced with the tool is available from http://www.tcoffee.org. The usage of the tool is described in both documentations.

Entities:  

Mesh:

Year:  2008        PMID: 18689823     DOI: 10.1093/bioinformatics/btn281

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  19 in total

1.  A consistency-based consensus algorithm for de novo and reference-guided sequence assembly of short reads.

Authors:  Tobias Rausch; Sergey Koren; Gennady Denisov; David Weese; Anne-Katrin Emde; Andreas Döring; Knut Reinert
Journal:  Bioinformatics       Date:  2009-03-05       Impact factor: 6.937

2.  Comprehensive comparison of graph based multiple protein sequence alignment strategies.

Authors:  Ilya Plyusnin; Liisa Holm
Journal:  BMC Bioinformatics       Date:  2012-04-29       Impact factor: 3.169

3.  PicXAA: greedy probabilistic construction of maximum expected accuracy alignment of multiple sequences.

Authors:  Sayed Mohammad Ebrahim Sahraeian; Byung-Jun Yoon
Journal:  Nucleic Acids Res       Date:  2010-04-22       Impact factor: 16.971

4.  Phylomark, a tool to identify conserved phylogenetic markers from whole-genome alignments.

Authors:  Jason W Sahl; Malcolm N Matalka; David A Rasko
Journal:  Appl Environ Microbiol       Date:  2012-05-11       Impact factor: 4.792

5.  Mugsy: fast multiple alignment of closely related whole genomes.

Authors:  Samuel V Angiuoli; Steven L Salzberg
Journal:  Bioinformatics       Date:  2010-12-09       Impact factor: 6.937

6.  Protein multiple sequence alignment by hybrid bio-inspired algorithms.

Authors:  Vincenzo Cutello; Giuseppe Nicosia; Mario Pavone; Igor Prizzi
Journal:  Nucleic Acids Res       Date:  2010-11-10       Impact factor: 16.971

7.  Gegenees: fragmented alignment of multiple genomes for determining phylogenomic distances and genetic signatures unique for specified target groups.

Authors:  Joakim Agren; Anders Sundström; Therese Håfström; Bo Segerman
Journal:  PLoS One       Date:  2012-06-18       Impact factor: 3.240

Review 8.  Upcoming challenges for multiple sequence alignment methods in the high-throughput era.

Authors:  Carsten Kemena; Cedric Notredame
Journal:  Bioinformatics       Date:  2009-07-30       Impact factor: 6.937

9.  DELLY: structural variant discovery by integrated paired-end and split-read analysis.

Authors:  Tobias Rausch; Thomas Zichner; Andreas Schlattl; Adrian M Stütz; Vladimir Benes; Jan O Korbel
Journal:  Bioinformatics       Date:  2012-09-15       Impact factor: 6.937

10.  Fast statistical alignment.

Authors:  Robert K Bradley; Adam Roberts; Michael Smoot; Sudeep Juvekar; Jaeyoung Do; Colin Dewey; Ian Holmes; Lior Pachter
Journal:  PLoS Comput Biol       Date:  2009-05-29       Impact factor: 4.475

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.