DBM – Dynamic Bayesian Markov model for Genotype Calling

DBM

:: DESCRIPTION

DBM is a Dynamic Bayesian Markov model for genotype calling, haplotype inference, de novo inference of population structure and local admixture for next-gen sequencing data.

::DEVELOPER

Yu Zhang

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

 DBM

:: MORE INFORMATION

Citation

A dynamic Bayesian Markov model for phasing and characterizing haplotypes in next-generation sequencing.
Zhang Y.
Bioinformatics (2013) 29 (7): 878-885.

SNPCaller – Smarter Clustering Methods for SNP Genotype Calling

SNPCaller

:: DESCRIPTION

SNPCaller (Smarter Clustering Methods for SNP Genotype Calling) is a set of routines for making genotype calls from raw intensity data using mixture models for disomic or trisomic data

::DEVELOPER

Division of Statistical Genetics

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

 SNPCaller

:: MORE INFORMATION

Citation:

Yan Lin et al.
Smarter clustering methods for SNP genotype calling
Bioinformatics (2008) 24 (23): 2665-2671.

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