Literature DB >> 18566763

Multiple sequence alignment.

Walter Pirovano1, Jaap Heringa.   

Abstract

Multiple sequence alignment (MSA) has assumed a key role in comparative structure and function analysis of biological sequences. It often leads to fundamental biological insight into sequence-structure-function relationships of nucleotide or protein sequence families. Significant advances have been achieved in this field, and many useful tools have been developed for constructing alignments. It should be stressed, however, that many complex biological and methodological issues are still open. This chapter first provides some background information and considerations associated with MSA techniques, concentrating on the alignment of protein sequences. Then, a practical overview of currently available methods and a description of their specific advantages and limitations are given, so that this chapter might constitute a helpful guide or starting point for researchers who aim to construct a reliable MSA.

Mesh:

Year:  2008        PMID: 18566763     DOI: 10.1007/978-1-60327-159-2_7

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


  5 in total

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Authors:  Michiaki Hamada; Kiyoshi Asai
Journal:  J Comput Biol       Date:  2012-02-07       Impact factor: 1.479

2.  Whole genome sequencing and comparative genomic analyses of Pseudomonas aeruginosa strain isolated from arable soil reveal novel insights into heavy metal resistance and codon biology.

Authors:  Jayanti Saha; Sourav Dey; Ayon Pal
Journal:  Curr Genet       Date:  2022-06-28       Impact factor: 2.695

3.  JCoDA: a tool for detecting evolutionary selection.

Authors:  Steven N Steinway; Ruth Dannenfelser; Christopher D Laucius; James E Hayes; Sudhir Nayak
Journal:  BMC Bioinformatics       Date:  2010-05-27       Impact factor: 3.169

4.  PSAR: measuring multiple sequence alignment reliability by probabilistic sampling.

Authors:  Jaebum Kim; Jian Ma
Journal:  Nucleic Acids Res       Date:  2011-05-16       Impact factor: 16.971

5.  Towards realistic benchmarks for multiple alignments of non-coding sequences.

Authors:  Jaebum Kim; Saurabh Sinha
Journal:  BMC Bioinformatics       Date:  2010-01-26       Impact factor: 3.169

  5 in total

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