TurboGenomics, which specializes in high-performance parallel and distributed bioinformatics software, has released its new package, TurboBLAST, for Mac OS X, at this week’s Macworld New York.
TurboBLAST is an accelerated, parallel implementation of the unmodified BLAST homology search application distributed by the National Center for Biotechnology Information. TurboBLAST enables scientists to increase productivity by removing the computational bottleneck in the BLAST application.
TurboBLAST provides superlinear acceleration of the BLAST algorithm, dynamically distributing the workload across heterogeneous machine types and operating systems, including Mac OS X, Linux, Unix and Windows. It can run on dedicated clusters of workstations as well as idle desktop machines to maximize efficiency and throughput. TurboBLAST is the first product in the TurboTools suite, a group of parallel implementations of bioinformatics algorithms to be released by TurboGenomics.
“We’re thrilled to be able to showcase TurboBLAST’s superior performance with the power and elegance of Mac OS X on the G4,” said TurboGenomics CEO, Dr. Gregory Gardiner, in a statement. “TurboBLAST is the first of many parallel implementations of bioinformatics algorithms that will be developed by TurboGenomics for the Macintosh.”
The innovative user interface provided by Mac OS X and the speed of the PowerPC G4 processor are an ideal combination for the scientist performing large BLAST calculations with TurboBLAST, he added. This release for Mac OS X leverages both the Aqua interface and the Darwin core to yield enhanced performance and usability, Gardiner said. Plus, the on-board gigabit Ethernet provides a performance boost by reducing the network overhead needed to transfer genomic databases.
Computer farms are becoming widely accepted as attractive solutions for computationally intensive algorithms, Gardiner said. Distributed computing systems with parallel software implementations like TurboBLAST have proven to be cost-effective, flexible and fast compared to traditional supercomputing facilities, he added.