GeMS 1.0 – A High Efficient SNP Detection Software

GeMS 1.0

:: DESCRIPTION

GeMS (Genotype Model Selection) is a single nucleotide polymorphism (SNP) detector that works with alignment files of high-throughput sequencing (HTS) data. GeMS calls SNPs based on a statistical model selection procedure and accounts for the aerrors that can occur during genomic sample preparation

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::DEVELOPER

Cui Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • C Compiler

:: DOWNLOAD

 GeMS

:: MORE INFORMATION

Citation

Na You, Gabriel Murillo, Kang Ning, Xiaoquan Su, Xiaowei Zheng, Jian Xu, Shoudong Zhang, Jiankang Zhu and Xinping Cui.
SNP calling using genotype model selection on next generation sequencing data“,
Bioinformatics. 2012 Mar 1;28(5):643-50. doi: 10.1093/bioinformatics/bts001.