title: MetaABC--an integrated metagenomics platform for data adjustment, binning and clustering.
abstract: CONCLUSIONS
  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.
  
  
  BACKGROUND
  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
  
  
  BACKGROUND
  Supplementary data are available at Bioinformatics online.
authors.affiliation: Institute of Information Science, Academia Sinica, Taipei 115, Taiwan.
authors.forename: Chien-Hao
authors.initials: CH
authors.lastname: Su
authors.forename: Ming-Tsung
authors.initials: MT
authors.lastname: Hsu
authors.forename: Tse-Yi
authors.initials: TY
authors.lastname: Wang
authors.forename: Sufeng
authors.initials: S
authors.lastname: Chiang
authors.forename: Jen-Hao
authors.initials: JH
authors.lastname: Cheng
authors.forename: Francis C
authors.initials: FC
authors.lastname: Weng
authors.forename: Cheng-Yan
authors.initials: CY
authors.lastname: Kao
authors.forename: Daryi
authors.initials: D
authors.lastname: Wang
authors.forename: Huai-Kuang
authors.initials: HK
authors.lastname: Tsai
mesh_terms: D016000:Cluster Analysis; D056186:Metagenomics / Q000379:methods*; D012984:Software; D018511:Systems Integration