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PMID: 20021646 Published · epublish English Journal Article Research Support, Non-U.S. Gov't

WebCARMA: a web application for the functional and taxonomic classification of unassembled metagenomic reads.

BMC bioinformatics ·Vol. 10 ·2009-12-18 ·Pages 430

Gerlach W, Jünemann S, Tille F, Goesmann A, Stoye J

Abstract

Metagenomics is a new field of research on natural microbial communities. High-throughput sequencing techniques like 454 or Solexa-Illumina promise new possibilities as they are able to produce huge amounts of data in much shorter time and with less efforts and costs than the traditional Sanger technique. But the data produced comes in even shorter reads (35-100 basepairs with Illumina, 100-500 basepairs with 454-sequencing). CARMA is a new software pipeline for the characterisation of species composition and the genetic potential of microbial samples using short, unassembled reads. In this paper, we introduce WebCARMA, a refined version of CARMA available as a web application for the taxonomic and functional classification of unassembled (ultra-)short reads from metagenomic communities. In addition, we have analysed the applicability of ultra-short reads in metagenomics. We show that unassembled reads as short as 35 bp can be used for the taxonomic classification of a metagenome. The web application is freely available at http://webcarma.cebitec.uni-bielefeld.de.

MeSH Terms
Computational Biology/methods Genome Genomics/methods Internet Metagenomics/methods Software
Authors & Affiliations
5 authors, click to expand affiliations / ORCID
Gerlach Wolfgang
Faculty of Technology, Bielefeld University, Bielefeld, Germany. wolfgang.gerlach@cebitec.uni-bielefeld.de
Jünemann Sebastian
Tille Felix
Goesmann Alexander
Stoye Jens
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Article Info
Journal
BMC bioinformatics
Abbr.
BMC Bioinformatics
ISSN
1471-2105
Published
2009-12-18
Epub
2009-00-18
Pages
430
Language
English
Region
England
NLM ID
100965194
PMCID
PMC2801688
Subset
IM
Analysis Services
Analysis Services

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