Literature DB >> 17920750

Automatic identification of large collections of protein-coding or rRNA sequences.

Anne-Muriel Arigon1, Guy Perrière, Manolo Gouy.   

Abstract

The number of available genomic sequences is growing very fast, due to the development of massive sequencing techniques. Sequence identification is needed and contributes to the assessment of gene and species evolutionary relationships. Automated bioinformatics tools are thus necessary to carry out these identification operations in an accurate and fast way. We developed HoSeqI (Homologous Sequence Identification), a software environment allowing this kind of automated sequence identification using homologous gene family databases. HoSeqI is accessible through a Web interface (http://pbil.univ-lyon1.fr/software/HoSeqI/) allowing to identify one or several sequences and to visualize resulting alignments and phylogenetic trees. We also implemented another application, MultiHoSeqI, to quickly add a large set of sequences to a family database in order to identify them, to update the database, or to help automatic genome annotation. Lately, we developed an application, ChiSeqI (Chimeric Sequence Identification), to automate the processes of identification of bacterial 16S ribosomal RNA sequences and of detection of chimeric sequences.

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Year:  2007        PMID: 17920750     DOI: 10.1016/j.biochi.2007.08.006

Source DB:  PubMed          Journal:  Biochimie        ISSN: 0300-9084            Impact factor:   4.079


  2 in total

1.  CREST--classification resources for environmental sequence tags.

Authors:  Anders Lanzén; Steffen L Jørgensen; Daniel H Huson; Markus Gorfer; Svenn Helge Grindhaug; Inge Jonassen; Lise Øvreås; Tim Urich
Journal:  PLoS One       Date:  2012-11-08       Impact factor: 3.240

2.  RegExpBlasting (REB), a Regular Expression Blasting algorithm based on multiply aligned sequences.

Authors:  Francesco Rubino; Marcella Attimonelli
Journal:  BMC Bioinformatics       Date:  2009-06-16       Impact factor: 3.169

  2 in total

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