Title |
BLASTGrabber: a bioinformatic tool for visualization, analysis and sequence selection of massive BLAST data
|
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Published in |
BMC Bioinformatics, May 2014
|
DOI | 10.1186/1471-2105-15-128 |
Pubmed ID | |
Authors |
Ralf Stefan Neumann, Surendra Kumar, Thomas Hendricus Augustus Haverkamp, Kamran Shalchian-Tabrizi |
Abstract |
Advances in sequencing efficiency have vastly increased the sizes of biological sequence databases, including many thousands of genome-sequenced species. The BLAST algorithm remains the main search engine for retrieving sequence information, and must consequently handle data on an unprecedented scale. This has been possible due to high-performance computers and parallel processing. However, the raw BLAST output from contemporary searches involving thousands of queries becomes ill-suited for direct human processing. Few programs attempt to directly visualize and interpret BLAST output; those that do often provide a mere basic structuring of BLAST data. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 3 | 19% |
Norway | 3 | 19% |
United Kingdom | 2 | 13% |
Saudi Arabia | 1 | 6% |
Cameroon | 1 | 6% |
France | 1 | 6% |
Sweden | 1 | 6% |
Unknown | 4 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 12 | 75% |
Members of the public | 4 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Norway | 3 | 2% |
Germany | 2 | 1% |
United States | 2 | 1% |
Switzerland | 1 | <1% |
Australia | 1 | <1% |
Brazil | 1 | <1% |
New Zealand | 1 | <1% |
Netherlands | 1 | <1% |
Argentina | 1 | <1% |
Other | 3 | 2% |
Unknown | 127 | 89% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 43 | 30% |
Student > Ph. D. Student | 28 | 20% |
Student > Master | 16 | 11% |
Student > Bachelor | 14 | 10% |
Professor | 7 | 5% |
Other | 24 | 17% |
Unknown | 11 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 69 | 48% |
Biochemistry, Genetics and Molecular Biology | 21 | 15% |
Computer Science | 13 | 9% |
Environmental Science | 4 | 3% |
Immunology and Microbiology | 4 | 3% |
Other | 16 | 11% |
Unknown | 16 | 11% |