Parallelizing Interproscan with SLURM

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dc.contributor.orgSystems, Synthetic, and Physical Biologyen_US
dc.creatorFulk, Emily M.en_US
dc.creatorGoldman, Annelise L.en_US
dc.creatorMomper, Lilyen_US
dc.creatorHeider, Clintonen_US
dc.creatorMulligan, Johnen_US
dc.creatorOsburn, Magdalenaen_US
dc.creatorMasiello, Caroline A.en_US
dc.creatorSilberg, Jonathan J.en_US
dc.date.accessioned2023-06-27T16:46:04Zen_US
dc.date.available2023-06-27T16:46:04Zen_US
dc.date.issued6/27/2023en_US
dc.description.abstractThis repository contains code to facilitate analysis of large numbers of proteins by Interproscan with minimum user oversight and efficient use of computational resources. It provides templates for parallelizing Interproscan with SLURM on the Rice NOTS computing cluster, following a high-throughput computing model.en_US
dc.format.extentOne zip file including code totaling 177 MB.en_US
dc.format.mimetypetext/plainen_US
dc.identifier.citationFulk, Emily M., Goldman, Annelise L., Momper, Lily, Heider, Clinton, Mulligan, John, Osburn, Magdalena, Masiello, Caroline A. and Silberg, Jonathan J. (2023): Parallelizing Interproscan with SLURM. [Dataset]. Rice University. https://doi.org/10.25611/4S05-X831en_US
dc.identifier.doihttps://doi.org/10.25611/4S05-X831en_US
dc.identifier.urihttps://hdl.handle.net/1911/114920en_US
dc.language.isoengen_US
dc.publisherRice Universityen_US
dc.relation.IsReferencedByMicrobial sensor variation across biogeochemical conditions in the terrestrial deep subsurface, DOI: doi.org/10.1101/2023.02.01.526704en_US
dc.subject.keywordInterproscanen_US
dc.subject.keywordSLURMen_US
dc.subject.keywordprotein functionen_US
dc.subject.keywordhigh-throughput computingen_US
dc.titleParallelizing Interproscan with SLURMen_US
dc.title.subtitleDataseten_US
dc.type.dcmiDataseten_US
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