Title |
GrabBlur - a framework to facilitate the secure exchange of whole-exome and -genome SNV data using VCF files
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Published in |
BMC Genomics, May 2014
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DOI | 10.1186/1471-2164-15-s4-s8 |
Pubmed ID | |
Authors |
Björn Stade, Dominik Seelow, Ingo Thomsen, Michael Krawczak, Andre Franke |
Abstract |
Next Generation Sequencing (NGS) of whole exomes or genomes is increasingly being used in human genetic research and diagnostics. Sharing NGS data with third parties can help physicians and researchers to identify causative or predisposing mutations for a specific sample of interest more efficiently. In many cases, however, the exchange of such data may collide with data privacy regulations. GrabBlur is a newly developed tool to aggregate and share NGS-derived single nucleotide variant (SNV) data in a public database, keeping individual samples unidentifiable. In contrast to other currently existing SNV databases, GrabBlur includes phenotypic information and contact details of the submitter of a given database entry. By means of GrabBlur human geneticists can securely and easily share SNV data from resequencing projects. GrabBlur can ease the interpretation of SNV data by offering basic annotations, genotype frequencies and in particular phenotypic information - given that this information was shared - for the SNV of interest. |
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Israel | 1 | 100% |
Demographic breakdown
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Scientists | 1 | 100% |
Mendeley readers
Geographical breakdown
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Germany | 1 | 6% |
Unknown | 13 | 81% |
Demographic breakdown
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Researcher | 4 | 25% |
Student > Ph. D. Student | 2 | 13% |
Student > Doctoral Student | 1 | 6% |
Student > Master | 1 | 6% |
Other | 3 | 19% |
Unknown | 1 | 6% |
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Other | 0 | 0% |
Unknown | 3 | 19% |