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MeFiT: merging and filtering tool for illumina paired-end reads for 16S rRNA amplicon sequencing.
Parikh, Hardik I; Koparde, Vishal N; Bradley, Steven P; Buck, Gregory A; Sheth, Nihar U.
Afiliação
  • Parikh HI; Department of Microbiology and Immunology, Virginia Commonwealth University, Richmond, Virginia, USA.
  • Koparde VN; Center for the Study of Biological Complexity, Virginia Commonwealth University, Richmond, Virginia, USA.
  • Bradley SP; Department of Microbiology and Immunology, Virginia Commonwealth University, Richmond, Virginia, USA.
  • Buck GA; Department of Microbiology and Immunology, Virginia Commonwealth University, Richmond, Virginia, USA.
  • Sheth NU; Center for the Study of Biological Complexity, Virginia Commonwealth University, Richmond, Virginia, USA.
BMC Bioinformatics ; 17(1): 491, 2016 Dec 01.
Article em En | MEDLINE | ID: mdl-27905885
ABSTRACT

BACKGROUND:

Recent advances in next-generation sequencing have revolutionized genomic research. 16S rRNA amplicon sequencing using paired-end sequencing on the MiSeq platform from Illumina, Inc., is being used to characterize the composition and dynamics of extremely complex/diverse microbial communities. For this analysis on the Illumina platform, merging and quality filtering of paired-end reads are essential first steps in data analysis to ensure the accuracy and reliability of downstream analysis.

RESULTS:

We have developed the Merging and Filtering Tool (MeFiT) to combine these pre-processing steps into one simple, intuitive pipeline. MeFiT invokes CASPER (context-aware scheme for paired-end reads) for merging paired-end reads and provides users the option to quality filter the reads using the traditional average Q-score metric or using a maximum expected error cut-off threshold.

CONCLUSIONS:

MeFiT provides an open-source solution that permits users to merge and filter paired end illumina reads. The tool has been implemented in python and the source-code is freely available at https//github.com/nisheth/MeFiT .
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / RNA Ribossômico 16S / Análise de Sequência de DNA / Genes de RNAr / Genômica / Genes Bacterianos Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / RNA Ribossômico 16S / Análise de Sequência de DNA / Genes de RNAr / Genômica / Genes Bacterianos Idioma: En Ano de publicação: 2016 Tipo de documento: Article