Literature DB >> 9669886

Multiple sequence alignment with the Divide-and-Conquer method.

J Stoye1.   

Abstract

An improved algorithm for the simultaneous alignment of multiple protein and nucleic acid sequences, the Divide-and-Conquer Alignment procedure (DCA), is presented. The basic method described in Tönges,et al. (1996) (Tönges, U., Perrey, S.W., Stoye, J., Dress, A.W.M., 1996. A general method for fast multiple sequence alignment. Gene, 172, GC33-GC41) is generalized to align any number of sequences to work arbitrary (e.g. affine linear) gap penalty functions. Also, the practical efficiency of the method is improved so that families of more than 10 sequences can now be aligned simultaneously within a few seconds or minutes. After a brief description of the general method, we assess the time and memory requirements of our implementation of DCA. We present several examples showing that the program is able to deal with real-world alignment problems.

Entities:  

Mesh:

Year:  1998        PMID: 9669886     DOI: 10.1016/s0378-1119(98)00097-3

Source DB:  PubMed          Journal:  Gene        ISSN: 0378-1119            Impact factor:   3.688


  10 in total

1.  Using the miraEST assembler for reliable and automated mRNA transcript assembly and SNP detection in sequenced ESTs.

Authors:  Bastien Chevreux; Thomas Pfisterer; Bernd Drescher; Albert J Driesel; Werner E G Müller; Thomas Wetter; Sándor Suhai
Journal:  Genome Res       Date:  2004-05-12       Impact factor: 9.043

2.  DIALIGN P: fast pair-wise and multiple sequence alignment using parallel processors.

Authors:  Martin Schmollinger; Kay Nieselt; Michael Kaufmann; Burkhard Morgenstern
Journal:  BMC Bioinformatics       Date:  2004-09-09       Impact factor: 3.169

3.  A memory-efficient algorithm for multiple sequence alignment with constraints.

Authors:  Chin Lung Lu; Yen Pin Huang
Journal:  Bioinformatics       Date:  2004-09-16       Impact factor: 6.937

4.  MCALIGN: stochastic alignment of noncoding DNA sequences based on an evolutionary model of sequence evolution.

Authors:  Peter D Keightley; Toby Johnson
Journal:  Genome Res       Date:  2004-03       Impact factor: 9.043

5.  Homology modeling and dynamics of the extracellular domain of rat and human neuronal nicotinic acetylcholine receptor subtypes alpha4beta2 and alpha7.

Authors:  William H Bisson; Gerrit Westera; P Augustus Schubiger; Leonardo Scapozza
Journal:  J Mol Model       Date:  2008-07-08       Impact factor: 1.810

6.  Incorporating alignment uncertainty into Felsenstein's phylogenetic bootstrap to improve its reliability.

Authors:  Jia-Ming Chang; Evan W Floden; Javier Herrero; Olivier Gascuel; Paolo Di Tommaso; Cedric Notredame
Journal:  Bioinformatics       Date:  2019-02-06       Impact factor: 6.937

7.  Divergence of the yeast transcription factor FZF1 affects sulfite resistance.

Authors:  Elizabeth K Engle; Justin C Fay
Journal:  PLoS Genet       Date:  2012-06-14       Impact factor: 5.917

8.  XML schemas for common bioinformatic data types and their application in workflow systems.

Authors:  Philipp N Seibel; Jan Krüger; Sven Hartmeier; Knut Schwarzer; Kai Löwenthal; Henning Mersch; Thomas Dandekar; Robert Giegerich
Journal:  BMC Bioinformatics       Date:  2006-11-06       Impact factor: 3.169

9.  Progressive multiple sequence alignments from triplets.

Authors:  Matthias Kruspe; Peter F Stadler
Journal:  BMC Bioinformatics       Date:  2007-07-15       Impact factor: 3.169

10.  Benchmarking tools for the alignment of functional noncoding DNA.

Authors:  Daniel A Pollard; Casey M Bergman; Jens Stoye; Susan E Celniker; Michael B Eisen
Journal:  BMC Bioinformatics       Date:  2004-01-21       Impact factor: 3.169

  10 in total

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