DOI: 10.29007/qm7h
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HPC-BLAST: Distributed BLAST for Modern HPC Clusters.

Abstract: The near exponential growth in sequence data available to bioinformaticists, and the emergence of new fields of biological research, continue to fuel an incessant need for in- creases in sequence alignment performance. Today, more than ever before, bioinformatics researchers have access to a wide variety of HPC architectures including high core count Intel Xeon processors and the many-core Intel Xeon Phi.In this work, the implementation of a distributed, NCBI compliant, BLAST+ (C++ toolkit) code, targeted for … Show more

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Cited by 9 publications
(12 citation statements)
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“…Rather than relying on annotations of separate archaeal and bacterial data into metagenomes and metatrancriptomes, sequences were queried against a database with bacteria and archaea combined to get the top hit. We used a BLASTn implementation parallelized for high-performance computation (HPC-BLAST) ( 46 ) on the Beacon cluster ( 47 ) at the Joint Institute for Computational Sciences. The alignment results of HPC-BLAST are compatible with those of NCBI BLAST.…”
Section: Methodsmentioning
confidence: 99%
“…Rather than relying on annotations of separate archaeal and bacterial data into metagenomes and metatrancriptomes, sequences were queried against a database with bacteria and archaea combined to get the top hit. We used a BLASTn implementation parallelized for high-performance computation (HPC-BLAST) ( 46 ) on the Beacon cluster ( 47 ) at the Joint Institute for Computational Sciences. The alignment results of HPC-BLAST are compatible with those of NCBI BLAST.…”
Section: Methodsmentioning
confidence: 99%
“…Rather than relying on annotations to separate archaea and bacteria in metagenomes and metatrancriptomes, sequences were queried against a database with bacteria and archaea combined to get the top hit. We used a BLASTn implementation parallelized for high performance computation, HPC-BLAST(11), on the Beacon cluster (12) at the Joint Institute for Computational Sciences. The alignment results of HPC-BLAST are compatible with those of NCBI BLAST.…”
Section: Methodsmentioning
confidence: 99%
“…This process is made by a bioinformatics tool. In this work, it is utilized the EMBOSS tool, even though the BLAST tool is a widely used bioinformatics tool as shown in [Sawyer et al 2019]. The preference for EMBOSS was justified by the type of alignment, which is global.…”
Section: Evaluating Studymentioning
confidence: 99%