GenomeGems 3.0 – Evaluation of Genetic Variability from Deep Sequencing Data

GenomeGems 3.0

:: DESCRIPTION

GenomeGems’ aim is to provide investigators with a simple tool for sorting, analyzing, prioritizing and visualizing the Single Nucleotide Polymorphisms (SNPs) provided by bioinformatics analysis of data acquired by Deep Sequencing experiments. The key design feature is to facilitate the final steps of Deep Sequencing data analysis thus leading to a rapid shift to the next step of experimental mutation validation.

::DEVELOPER

Shomron Lab

:: SCREENSHOTS

GenomeGems

:: REQUIREMENTS

  • Windows
  • MCR

:: DOWNLOAD

 GenomeGems

:: MORE INFORMATION

Citation:

BMC Res Notes. 2012 Jul 2;5:338. doi: 10.1186/1756-0500-5-338.
GenomeGems: evaluation of genetic variability from deep sequencing data.
Ben-Zvi S1, Givati A, Shomron N.