TAMER 1.0 – Taxonomic Assignment of Metagenomic Sequencing Reads

TAMER 1.0

:: DESCRIPTION

TAMER is an R package for accurate taxonomic assignment of metagenomic sequencing reads.

::DEVELOPER

Lingling An , Hongmei Jiang

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows
  • R

:: DOWNLOAD

 TAMER

:: MORE INFORMATION

Citation

PLoS One. 2012;7(10):e46450. doi: 10.1371/journal.pone.0046450. Epub 2012 Oct 1.
A statistical framework for accurate taxonomic assignment of metagenomic sequencing reads.
Jiang H1, An L, Lin SM, Feng G, Qiu Y.

TANGO 1.2.0 – Taxonomic Assignment in Metagenomics

TANGO 1.2.0

:: DESCRIPTION

TANGO  is a tool for the optimal taxonomic assignment of ambiguous pyrosequencing reads.

::DEVELOPER

G. Valiente

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux/Windows/MacOsX
  • Perl

:: DOWNLOAD

 TANGO

:: MORE INFORMATION

Citation:

Bioinformatics. 2014 Jan 1;30(1):17-23. doi: 10.1093/bioinformatics/btt256. Epub 2013 May 3.
Further steps in TANGO: improved taxonomic assignment in metagenomics.
Alonso-Alemany D1, Barré A, Beretta S, Bonizzoni P, Nikolski M, Valiente G.

BMC Bioinformatics. 2011 Jan 7;12:8. doi: 10.1186/1471-2105-12-8.
Flexible taxonomic assignment of ambiguous sequencing reads.
Clemente JC, Jansson J, Valiente G.

RITA 1.0.1 – Rapid Identification of Taxonomic Assignments for Metagenomic fragments

RITA 1.0.1

:: DESCRIPTION

RITA (Rapid Identification of Taxonomic Assignments) is a standalone software package and Web server for taxonomic assignment of metagenomic sequence reads. By combining homology predictions from BLAST or UBLAST with compositional classifications from a Naive Bayes classifier, RITA is able to achieve very high accuracy on short reads. Unlike other hybrid approaches which combine these predictions for all sequences to be classified, RITA uses a pipeline to first identify cases where both types of classifier are in agreement, which constitute the highest-confidence set. Sequences not classified in this manner are subjected to a series of downstream classification steps.

RITA Online Version

::DEVELOPER

Beiko lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows / Mac OsX / Linux
  • Python

:: DOWNLOAD

 RITA

:: MORE INFORMATION

Citation:

MacDonald NJ, Parks DH, and Beiko RG.
Rapid identification of high-confidence taxonomic assignments for metagenomic data
Nucl. Acids Res. (2012) doi: 10.1093/nar/gks335 April 4, 2012.