GenomeGems: evaluation of genetic variability from deep sequencing data

Sharon Ben-Zvi, Adi Givati, Noam Shomron
2012 BMC Research Notes  
Detection of disease-causing mutations using Deep Sequencing technologies possesses great challenges. In particular, organizing the great amount of sequences generated so that mutations, which might possibly be biologically relevant, are easily identified is a difficult task. Yet, for this assignment only limited automatic accessible tools exist. Findings: We developed GenomeGems to gap this need by enabling the user to view and compare Single Nucleotide Polymorphisms (SNPs) from multiple
more » ... ts and to load the data onto the UCSC Genome Browser for an expanded and familiar visualization. As such, via automatic, clear and accessible presentation of processed Deep Sequencing data, our tool aims to facilitate ranking of genomic SNP calling. GenomeGems runs on a local Personal Computer (PC) and is freely available at Conclusions: GenomeGems enables researchers to identify potential disease-causing SNPs in an efficient manner. This enables rapid turnover of information and leads to further experimental SNP validation. The tool allows the user to compare and visualize SNPs from multiple experiments and to easily load SNP data onto the UCSC Genome browser for further detailed information. Figure 12 The Additional Information interface enables quick transfer to suggested additional databases for further analysis of SNPs.
doi:10.1186/1756-0500-5-338 pmid:22748151 pmcid:PMC3499170 fatcat:bedz7il7krg6ffsufgtzlwytfe