Title |
NCBI BLAST+ integrated into Galaxy
|
---|---|
Published in |
Giga Science, August 2015
|
DOI | 10.1186/s13742-015-0080-7 |
Pubmed ID | |
Authors |
Peter J. A. Cock, John M. Chilton, Björn Grüning, James E. Johnson, Nicola Soranzo |
Abstract |
The NCBI BLAST suite has become ubiquitous in modern molecular biology and is used for small tasks such as checking capillary sequencing results of single PCR products, genome annotation or even larger scale pan-genome analyses. For early adopters of the Galaxy web-based biomedical data analysis platform, integrating BLAST into Galaxy was a natural step for sequence comparison workflows. The command line NCBI BLAST+ tool suite was wrapped for use within Galaxy. Appropriate datatypes were defined as needed. The integration of the BLAST+ tool suite into Galaxy has the goal of making common BLAST tasks easy and advanced tasks possible. This project is an informal international collaborative effort, and is deployed and used on Galaxy servers worldwide. Several examples of applications are described here. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 21% |
United Kingdom | 3 | 13% |
Canada | 3 | 13% |
Japan | 2 | 8% |
Comoros | 1 | 4% |
Denmark | 1 | 4% |
Italy | 1 | 4% |
New Zealand | 1 | 4% |
Hong Kong | 1 | 4% |
Other | 0 | 0% |
Unknown | 6 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 13 | 54% |
Scientists | 9 | 38% |
Science communicators (journalists, bloggers, editors) | 2 | 8% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | <1% |
Germany | 1 | <1% |
Netherlands | 1 | <1% |
Canada | 1 | <1% |
Brazil | 1 | <1% |
Spain | 1 | <1% |
China | 1 | <1% |
Unknown | 201 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 34 | 16% |
Student > Ph. D. Student | 30 | 14% |
Researcher | 30 | 14% |
Student > Master | 24 | 11% |
Student > Doctoral Student | 15 | 7% |
Other | 24 | 11% |
Unknown | 52 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 57 | 27% |
Biochemistry, Genetics and Molecular Biology | 54 | 26% |
Immunology and Microbiology | 11 | 5% |
Computer Science | 11 | 5% |
Engineering | 5 | 2% |
Other | 12 | 6% |
Unknown | 59 | 28% |