Parallelizing Interproscan with SLURM

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dc.contributor.orgSystems, Synthetic, and Physical Biology
dc.creatorFulk, Emily M.
dc.creatorGoldman, Annelise L.
dc.creatorMomper, Lily
dc.creatorHeider, Clinton
dc.creatorMulligan, John
dc.creatorOsburn, Magdalena
dc.creatorMasiello, Caroline A.
dc.creatorSilberg, Jonathan J.
dc.date.accessioned2023-06-27T16:46:04Z
dc.date.available2023-06-27T16:46:04Z
dc.date.issued2023-06-27
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.
dc.format.extentOne zip file including code totaling 177 MB.
dc.format.mimetypetext/plain
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-X831.
dc.identifier.doihttps://doi.org/10.25611/4S05-X831
dc.identifier.urihttps://hdl.handle.net/1911/114920
dc.language.isoeng
dc.publisherRice University
dc.relation.IsReferencedByMicrobial sensor variation across biogeochemical conditions in the terrestrial deep subsurface, DOI: doi.org/10.1101/2023.02.01.526704
dc.subject.keywordInterproscan
dc.subject.keywordSLURM
dc.subject.keywordProtein function
dc.subject.keywordHigh-throughput computing
dc.titleParallelizing Interproscan with SLURM
dc.title.subtitleDataset
dc.type.dcmiDataset
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