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Nucleic Acids Res. 2009 Jul;37(Web Server issue):W101-5. doi: 10.1093/nar/gkp327. Epub 2009 May 8.

Orphelia: predicting genes in metagenomic sequencing reads.

Author information

1
Abteilung Bioinformatik, Institut für Mikrobiologie und Genetik, Georg-August-Universität Göttingen, Goldschmidtstr. 1, 37077 Göttingen, Germany. katharina@gobics.de

Abstract

Metagenomic sequencing projects yield numerous sequencing reads of a diverse range of uncultivated and mostly yet unknown microorganisms. In many cases, these sequencing reads cannot be assembled into longer contigs. Thus, gene prediction tools that were originally developed for whole-genome analysis are not suitable for processing metagenomes. Orphelia is a program for predicting genes in short DNA sequences that is available through a web server application (http://orphelia.gobics.de). Orphelia utilizes prediction models that were created with machine learning techniques on the basis of a wide range of annotated genomes. In contrast to other methods for metagenomic gene prediction, Orphelia has fragment length-specific prediction models for the two most popular sequencing techniques in metagenomics, chain termination sequencing and pyrosequencing. These models ensure highly specific gene predictions.

PMID:
19429689
PMCID:
PMC2703946
DOI:
10.1093/nar/gkp327
[Indexed for MEDLINE]
Free PMC Article
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