BRAT 1.2.4 / BRAT-BW 2.0.1 / BRAT-nova – Bayesian Modeling of Recombination Events

BRAT 1.2.4 / BRAT-BW 2.0.1 / BRAT-nova

:: DESCRIPTION

BRAT contains an implementation of a Bayesian model-based method for detecting recombination events in bacterial populations using DNA sequence data.

BRAT-BW is a fast, accurate and memory-efficient tool that maps bisulfite-treated short reads (BS-seq) to a reference genome using the FM-index (Burrows-Wheeler transform).

BRAT-nova is a novel optimized versatile aligner that is accurate and fast. BRAT-nova is faster than BRAT-BW. BRAT-nova maps bisulfite-treated short reads (BS-seq) to a reference genome using the FM-index (Burrows-Wheeler transform). The package includes tools for trimming low quality read ends and for counting methylation level.

::DEVELOPER

Algorithms and Computational Biology Lab ,University of California / Bayesian Statistics Group

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows / MacOsX

:: DOWNLOAD

 BRAT

:: MORE INFORMATION

Citation:

Harris EY, Ounit R, Lonardi S.
BRAT-nova: fast and accurate mapping of bisulfite-treated reads.
Bioinformatics. 2016 Sep 1;32(17):2696-8. doi: 10.1093/bioinformatics/btw226. Epub 2016 Apr 23. PMID: 27153660.

Bioinformatics. 2012 Jul 1;28(13):1795-6. doi: 10.1093/bioinformatics/bts264. Epub 2012 May 3.
BRAT-BW: efficient and accurate mapping of bisulfite-treated reads.
Harris EY1, Ponts N, Le Roch KG, Lonardi S.

Marttinen, Pekka, Adam Baldwin, William P. Hanage, Chris Dowson, Esh Mahenthiralingam and Corander, Jukka, 2008,
Bayesian Modeling of Recombination Events in Bacterial Populations,
BMC Bioinformatics 9:421.

pairedBayes 20130514 – Bayesian modeling of paired RNA-seq experiment

pairedBayes 20130514

:: DESCRIPTION

pairedBayes is an R code for Bayesian modeling of paired RNA-seq experiment.

::DEVELOPER

Zhao Hongyu’s Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

 pairedBayes

:: MORE INFORMATION

Citation

BMC Bioinformatics. 2013 Mar 27;14:110. doi: 10.1186/1471-2105-14-110.
Differential expression analysis for paired RNA-Seq data.
Chung LM1, Ferguson JP, Zheng W, Qian F, Bruno V, Montgomery RR, Zhao H.

BASTA – Bayesian Modeling of DNA copy number amplification data

BASTA

:: DESCRIPTION

BASTA contains an implementation of a Bayesian model-based method for unsupervised classification of tissue samples based on DNA copy number amplifications.

::DEVELOPER

Bayesian Statistics Group

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

  BASTA

:: MORE INFORMATION

Citation:

Marttinen, Pekka, Myllykangas, Samuel and Corander, Jukka (2009)
Bayesian clustering and feature selection for cancer tissue samples
BMC Bioinformatics 2009, 10:90

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