| Literature DB >> 21697124 |
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