MultiGeMS 1.0 – Detection of SNVs from Multiple Samples Using Model Selection on High-Throughput Sequencing Data

MultiGeMS 1.0

:: DESCRIPTION

MultiGeMS (Multi-sample Genotype Model Selection) is a multiple sample single nucleotide variant (SNV) caller that works with alignment files of high-throughput sequencing (HTS) data. MultiGeMS calls SNVs based on a statistical model selection procedure and accounts for enzymatic substitution sequencing errors.

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::DEVELOPER

Cui Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • C Compiler

:: DOWNLOAD

 MultiGeMS

:: MORE INFORMATION

Citation

MultiGeMS: Detection of SNVs from Multiple Samples Using Model Selection on High-Throughput Sequencing Data.
Murillo G, You N, Su X, Cui W, Reilly MP, Li M, Ning K, Cui X.
Bioinformatics. 2016 Jan 18. pii: btv753