ScalaBLAST 2.0: Rapid and robust BLAST calculations on multiprocessor systems
Journal Article
·
· Bioinformatics, 29(6):797-8
BLAST remains one of the most widely used tools in computational biology. The rate at which new sequence data is available continues to grow exponentially, driving the emergence of new fields of biological research. At the same time multicore systems and conventional clusters are more accessible. ScalaBLAST has been designed to run on conventional multiprocessor systems with an eye to extreme parallelism, enabling parallel BLAST calculations using over 16,000 processing cores with a portable, robust, fault-resilient design. ScalaBLAST 2.0 source code can be freely downloaded from http://omics.pnl.gov/software/ScalaBLAST.php.
- Research Organization:
- Pacific Northwest National Laboratory (PNNL), Richland, WA (US), Environmental Molecular Sciences Laboratory (EMSL)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC05-76RL01830
- OSTI ID:
- 1072883
- Report Number(s):
- PNNL-SA-87629; 9603
- Journal Information:
- Bioinformatics, 29(6):797-8, Journal Name: Bioinformatics, 29(6):797-8
- Country of Publication:
- United States
- Language:
- English
Similar Records
Bringing large-scale multiple genome analysis one step closer: ScalaBLAST and beyond
ScalaBLAST: A Scalable Implementation of BLAST for High Performance Data-Intensive Bioinformatics Analysis
High-throughput computation of pairwise sequence similarities for multiple genome comparison using ScalaBLAST
Technical Report
·
Fri Jun 01 00:00:00 EDT 2007
·
OSTI ID:960403
ScalaBLAST: A Scalable Implementation of BLAST for High Performance Data-Intensive Bioinformatics Analysis
Journal Article
·
Tue Aug 01 00:00:00 EDT 2006
· IEEE Transactions on Parallel and Distributed Systems, 17(8):740-749
·
OSTI ID:889526
High-throughput computation of pairwise sequence similarities for multiple genome comparison using ScalaBLAST
Conference
·
Thu May 01 00:00:00 EDT 2008
·
OSTI ID:935612