COCACOLA – Binning Metagenomic Contigs using Sequence COmposition, Read CoverAge, CO-alignment, and Paired-end Read LinkAge

COCACOLA

:: DESCRIPTION

COCACOLA is a general framework that combines different types of information: sequence COmposition, CoverAge across multiple samples, CO-alignment to reference genomes and paired-end reads LinkAge to automatically bin contigs into OTUs.

::DEVELOPER

Fengzhu Sun

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • MatLab

:: DOWNLOAD

 COCACOLA

:: MORE INFORMATION

Citation

COCACOLA: binning metagenomic contigs using sequence COmposition, read CoverAge, CO-alignment, and paired-end read LinkAge.
Lu YY, Chen T, Fuhrman JA, Sun F.
Bioinformatics. 2016 Jun 2. pii: btw290.

MetaCon – Unsupervised Clustering of Metagenomic Contigs with Probabilistic k-mers Statistics and Coverage

MetaCon

:: DESCRIPTION

MetaCon is a novel tool for unsupervised metagenomic contig binning based on probabilistic k-mers statistics and coverage.

::DEVELOPER

Matteo Comin

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

MetaCon

:: MORE INFORMATION

Citation

BMC Bioinformatics, 20 (Suppl 9), 367 2019 Nov 22
MetaCon: Unsupervised Clustering of Metagenomic Contigs With Probabilistic K-Mers Statistics and Coverage
Jia Qian, Matteo Comin