https://www.socictopen.socict.org/files/original/a977173a10109b8e0648e1c60f92db9f.pdf 5ed006e1fd4c72fa51433b72bbc2f754 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Agricultura sostenible Description An account of the resource Dominio científico: Agricultura sostenible Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource BLVector: Fast BLAST-Like Algorithm for Manycore CPU With Vectorization Creator An entity primarily responsible for making the resource Sergio Gálvez, Federico Agostini, Javier Caselli, Pilar Hernandez, Gabriel Dorado Description An account of the resource New High-Performance Computing architectures have been recently developed for commercial central processing unit (CPU). Yet, that has not improved the execution time of widely used bioinformatics applications, like BLAST+. This is due to a lack of optimization between the bases of the existing algorithms and the internals of the hardware that allows taking full advantage of the available CPU cores. To optimize the new architectures, algorithms must be revised and redesigned; usually rewritten from scratch. BLVector adapts the high-level concepts of BLAST+ to the x86 architectures with AVX-512, to harness their capabilities. A deep comprehensive study has been carried out to optimize the approach, with a significant reduction in time execution. BLVector reduces the execution time of BLAST+ when aligning up to mid-size protein sequences (∼750 amino acids). The gain in real scenario cases is 3.2-fold. When applied to longer proteins, BLVector consumes more time than BLAST+, but retrieves a much larger set of results. BLVector and BLAST+ are fine-tuned heuristics. Therefore, the relevant results returned by both are the same, although they behave differently specially when performing alignments with low scores. Hence, they can be considered complementary bioinformatics tools. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource Proteins, benchmarking, database search, pairwise alignment, parallel algorithm Identifier An unambiguous reference to the resource within a given context 10.3389/fgene.2021.618659 Source A related resource from which the described resource is derived Frontiers in Genetics Publisher An entity responsible for making the resource available Frontiers Media S.A. Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Genetics Relation A related resource <a href="https://www.frontiersin.org/articles/10.3389/fgene.2021.618659/full" target="_blank" rel="noreferrer noopener">https://www.frontiersin.org/articles/10.3389/fgene.2021.618659/full</a>