Literature DB >> 22407711

Whole-genome alignment.

Colin N Dewey1.   

Abstract

Whole-genome alignment (WGA) is the prediction of evolutionary relationships at the nucleotide level between two or more genomes. It combines aspects of both colinear sequence alignment and gene orthology prediction, and is typically more challenging to address than either of these tasks due to the size and complexity of whole genomes. Despite the difficulty of this problem, numerous methods have been developed for its solution because WGAs are valuable for genome-wide analyses, such as phylogenetic inference, genome annotation, and function prediction. In this chapter, we discuss the meaning and significance of WGA and present an overview of the methods that address it. We also examine the problem of evaluating whole-genome aligners and offer a set of methodological challenges that need to be tackled in order to make the most effective use of our rapidly growing databases of whole genomes.

Mesh:

Year:  2012        PMID: 22407711     DOI: 10.1007/978-1-61779-582-4_8

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  7 in total

1.  Large-scale multiple sequence alignment and tree estimation using SATé.

Authors:  Kevin Liu; Tandy Warnow
Journal:  Methods Mol Biol       Date:  2014

2.  Split-alignment of genomes finds orthologies more accurately.

Authors:  Martin C Frith; Risa Kawaguchi
Journal:  Genome Biol       Date:  2015-05-21       Impact factor: 13.583

3.  Genome alignment with graph data structures: a comparison.

Authors:  Birte Kehr; Kathrin Trappe; Manuel Holtgrewe; Knut Reinert
Journal:  BMC Bioinformatics       Date:  2014-04-09       Impact factor: 3.169

4.  Coding exon-structure aware realigner (CESAR) utilizes genome alignments for accurate comparative gene annotation.

Authors:  Virag Sharma; Anas Elghafari; Michael Hiller
Journal:  Nucleic Acids Res       Date:  2016-03-25       Impact factor: 16.971

5.  NucDiff: in-depth characterization and annotation of differences between two sets of DNA sequences.

Authors:  Ksenia Khelik; Karin Lagesen; Geir Kjetil Sandve; Torbjørn Rognes; Alexander Johan Nederbragt
Journal:  BMC Bioinformatics       Date:  2017-07-12       Impact factor: 3.169

6.  A phylogenetic analysis of the brassicales clade based on an alignment-free sequence comparison method.

Authors:  Klas Hatje; Martin Kollmar
Journal:  Front Plant Sci       Date:  2012-08-29       Impact factor: 5.753

7.  Extensive divergence of transcription factor binding in Drosophila embryos with highly conserved gene expression.

Authors:  Mathilde Paris; Tommy Kaplan; Xiao Yong Li; Jacqueline E Villalta; Susan E Lott; Michael B Eisen
Journal:  PLoS Genet       Date:  2013-09-12       Impact factor: 5.917

  7 in total

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