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.

MetaGUN 1.0 – Gene Prediction in Metagenomic Fragments based on the SVM Algorithm

MetaGUN 1.0

:: DESCRIPTION

MetaGUN is a novel gene prediction method for metagenomic fragments based on a machine learning approach of SVM.

::DEVELOPER

ZhuLab, Peking Uiniversity, Beijing

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • Python

:: DOWNLOAD

MetaGUN

:: MORE INFORMATION

Citation

BMC Bioinformatics. 2013;14 Suppl 5:S12. doi: 10.1186/1471-2105-14-S5-S12. Epub 2013 Apr 10.
Gene prediction in metagenomic fragments based on the SVM algorithm.
Liu Y, Guo J, Hu G, Zhu H.