Identification of ribosomal RNA genes in metagenomic fragments

Motivation: Identification of genes coding for ribosomal RNA (rRNA) is considered an important goal in the analysis of data from metagenomics projects. Here, we report the development of a software program designed for the identification of rRNA genes from metagenomic fragments based on hidden Marko...

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Detalles Bibliográficos
Autores principales: Huang, Ying, Gilna, Paul, Li, Weizhong
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2009
Materias:
Applications Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2677747/
https://www.ncbi.nlm.nih.gov/pubmed/19346323
http://dx.doi.org/10.1093/bioinformatics/btp161
Descripción
Sumario:Motivation: Identification of genes coding for ribosomal RNA (rRNA) is considered an important goal in the analysis of data from metagenomics projects. Here, we report the development of a software program designed for the identification of rRNA genes from metagenomic fragments based on hidden Markov models (HMMs). This program provides rRNA gene predictions with high sensitivity and specificity on artificially fragmented genomic DNAs. Availability: Supplementary files, scripts and sample data are available at http://tools.camera.calit2.net/camera/meta_rna. Contact: liwz@sdsc.edu Supplementary information: Supplementary Data are available at Bioinformatics online.

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