Literature DB >> 12538258

SEGID: identifying interesting segments in (multiple) sequence alignments.

Lusheng Wang1, Ying Xu.   

Abstract

SUMMARY: SEGID is a tool for finding conserved regions (regions of high scores) for a given (multiple) sequence alignment. It takes a (multiple) sequence alignment as its input and converts the alignment into a sequence of numbers, where each number is the alignment score of a column. Three algorithms are used to identify regions of high scores. A graphical interface is provided to present those identified regions. AVAILABILITY: Free from http://www.cs.cityu.edu.hk/~lwang/segid/subject to copyright restrictions.

Mesh:

Year:  2003        PMID: 12538258     DOI: 10.1093/bioinformatics/19.2.297

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


  2 in total

1.  LEON: multiple aLignment Evaluation Of Neighbours.

Authors:  Julie D Thompson; Véronique Prigent; Olivier Poch
Journal:  Nucleic Acids Res       Date:  2004-02-24       Impact factor: 16.971

2.  Algorithms for locating extremely conserved elements in multiple sequence alignments.

Authors:  Huei-Hun E Tseng; Martin Tompa
Journal:  BMC Bioinformatics       Date:  2009-12-18       Impact factor: 3.169

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.