SNVMix2 – Detect Single Nucleotide Variants from Next Generation Sequencing

SNVMix2

:: DESCRIPTION

SNVMix is designed to detect single nucleotide variants from next generation sequencing data. SNVMix is a post-alignment tool. Given a pileup file (either Maq or Samtools format) as input and model parameters, SNVMix will output the probability that each position is one of three genotypes:  aa (homozygous for the reference allele, where the reference is the genome the reads were aligned to), ab (heterozygous) and bb (homozygous for a non-reference allele).  A tool for fitting the model using expectation maximization is also supplied (use -T option).

::DEVELOPER

Shah Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

 SNVMix

:: MORE INFORMATION

Citation

Goya R, Sun MG, Morin RD, Leung G, Ha G, Wiegand KC, Senz J, Crisan A, Marra MA, Hirst M, Huntsman D, Murphy KP, Aparicio S, Shah SP.
SNVMix: predicting single nucleotide variants from next-generation sequencing of tumors.
Bioinformatics. 2010 Mar 15;26(6):730-6.

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.

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