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Mendeley readers
Title |
Accelerating large-scale protein structure alignments with graphics processing units
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Published in |
BMC Research Notes, February 2012
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DOI | 10.1186/1756-0500-5-116 |
Pubmed ID | |
Authors |
Bin Pang, Nan Zhao, Michela Becchi, Dmitry Korkin, Chi-Ren Shyu |
Abstract |
Large-scale protein structure alignment, an indispensable tool to structural bioinformatics, poses a tremendous challenge on computational resources. To ensure structure alignment accuracy and efficiency, efforts have been made to parallelize traditional alignment algorithms in grid environments. However, these solutions are costly and of limited accessibility. Others trade alignment quality for speedup by using high-level characteristics of structure fragments for structure comparisons. |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Finland | 1 | 5% |
Spain | 1 | 5% |
United States | 1 | 5% |
Norway | 1 | 5% |
Unknown | 18 | 82% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 9 | 41% |
Student > Bachelor | 4 | 18% |
Professor > Associate Professor | 3 | 14% |
Student > Postgraduate | 2 | 9% |
Student > Master | 1 | 5% |
Other | 3 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 5 | 23% |
Biochemistry, Genetics and Molecular Biology | 5 | 23% |
Computer Science | 3 | 14% |
Engineering | 3 | 14% |
Social Sciences | 1 | 5% |
Other | 3 | 14% |
Unknown | 2 | 9% |