Literature DB >> 21697124

MetaABC--an integrated metagenomics platform for data adjustment, binning and clustering.

Chien-Hao Su1, Ming-Tsung Hsu, Tse-Yi Wang, Sufeng Chiang, Jen-Hao Cheng, Francis C Weng, Cheng-Yan Kao, Daryi Wang, Huai-Kuang Tsai.   

Abstract

SUMMARY: MetaABC is a metagenomic platform that integrates several binning tools coupled with methods for removing artifacts, analyzing unassigned reads and controlling sampling biases. It allows users to arrive at a better interpretation via series of distinct combinations of analysis tools. After execution, MetaABC provides outputs in various visual formats such as tables, pie and bar charts as well as clustering result diagrams. AVAILABILITY: MetaABC source code and documentation are available at http://bits2.iis.sinica.edu.tw/MetaABC/ CONTACT: dywang@gate.sinica.edu.tw; hktsai@iis.sinica.edu.tw SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Mesh:

Year:  2011        PMID: 21697124     DOI: 10.1093/bioinformatics/btr376

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  3 in total

1.  RIEMS: a software pipeline for sensitive and comprehensive taxonomic classification of reads from metagenomics datasets.

Authors:  Matthias Scheuch; Dirk Höper; Martin Beer
Journal:  BMC Bioinformatics       Date:  2015-03-03       Impact factor: 3.169

Review 2.  Web Resources for Metagenomics Studies.

Authors:  Pravin Dudhagara; Sunil Bhavsar; Chintan Bhagat; Anjana Ghelani; Shreyas Bhatt; Rajesh Patel
Journal:  Genomics Proteomics Bioinformatics       Date:  2015-11-18       Impact factor: 7.691

Review 3.  Computational meta'omics for microbial community studies.

Authors:  Nicola Segata; Daniela Boernigen; Timothy L Tickle; Xochitl C Morgan; Wendy S Garrett; Curtis Huttenhower
Journal:  Mol Syst Biol       Date:  2013-05-14       Impact factor: 11.429

  3 in total

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