RVD 27 – Hierarchical Bayesian model to detect Rare Single Nucleotide Variants

RVD 27

:: DESCRIPTION

RVD2 is an ultra-sensitive variant detection model for low-depth targeted next-generation sequencing data

::DEVELOPER

Flaherty Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows/Linux
  • Python

:: DOWNLOAD

 RVD2

:: MORE INFORMATION

Citation

RVD2: An ultra-sensitive variant detection model for low-depth heterogeneous next-generation sequencing data.
He Y, Zhang F, Flaherty P.
Bioinformatics. 2015 Apr 29. pii: btv275.

RVD – Rare Single Nucleotide Variant Detection using Next-generation Sequencing

RVD

:: DESCRIPTION

RVD is a standalone algorithm for ultrasensitive rare single nucleotide variant detection using next-generation sequencing. The RVD program takes BAM files of deep sequencing reads in as input. Using a Beta-Binomial model, the algorithm estimates the error rate at each base position in the reference sequence.

::DEVELOPER

Ji Research Group

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  •  MacOsX / Linux
  • MatLab
  • Samtools

:: DOWNLOAD

  RVD

:: MORE INFORMATION

Citation

RVD: a command-line program for ultrasensitive rare single nucleotide variant detection using targeted next-generation DNA resequencing.
Cushing A, Flaherty P, Hopmans E, Bell JM, Ji HP.
BMC Res Notes. 2013 May 23;6:206.