<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>22(3)</volume><submitter>Moutsatsos IK</submitter><pubmed_abstract>High-throughput screening generates large volumes of heterogeneous data that require a diverse set of computational tools for management, processing, and analysis. Building integrated, scalable, and robust computational workflows for such applications is challenging but highly valuable. Scientific data integration and pipelining facilitate standardized data processing, collaboration, and reuse of best practices. We describe how Jenkins-CI, an "off-the-shelf," open-source, continuous integration system, is used to build pipelines for processing images and associated data from high-content screening (HCS). Jenkins-CI provides numerous plugins for standard compute tasks, and its design allows the quick integration of external scientific applications. Using Jenkins-CI, we integrated CellProfil</pubmed_abstract><journal>SLAS discovery : advancing life sciences R &amp; D</journal><pagination>238-249</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC5322829</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Jenkins-CI, an Open-Source Continuous Integration System, as a Scientific Data and Image-Processing Platform.</pubmed_title><pmcid>PMC5322829</pmcid><pubmed_authors>Parker CN</pubmed_authors><pubmed_authors>Harbinski F</pubmed_authors><pubmed_authors>Wilson CJ</pubmed_authors><pubmed_authors>Holway N</pubmed_authors><pubmed_authors>Tallarico J</pubmed_authors><pubmed_authors>Zhang X</pubmed_authors><pubmed_authors>Agarinis C</pubmed_authors><pubmed_authors>Abraham Y</pubmed_authors><pubmed_authors>Jenkins JL</pubmed_authors><pubmed_authors>Hossain I</pubmed_authors><pubmed_authors>Moutsatsos IK</pubmed_authors><pubmed_authors>Dobler L</pubmed_authors></additional><is_claimable>false</is_claimable><name>Jenkins-CI, an Open-Source Continuous Integration System, as a Scientific Data and Image-Processing Platform.</name><description>High-throughput screening generates large volumes of heterogeneous data that require a diverse set of computational tools for management, processing, and analysis. Building integrated, scalable, and robust computational workflows for such applications is challenging but highly valuable. Scientific data integration and pipelining facilitate standardized data processing, collaboration, and reuse of best practices. We describe how Jenkins-CI, an "off-the-shelf," open-source, continuous integration system, is used to build pipelines for processing images and associated data from high-content screening (HCS). Jenkins-CI provides numerous plugins for standard compute tasks, and its design allows the quick integration of external scientific applications. Using Jenkins-CI, we integrated CellProfil</description><dates><release>2017-01-01T00:00:00Z</release><publication>2017 Mar</publication><modification>2025-04-18T19:22:16.753Z</modification><creation>2019-03-27T02:37:13Z</creation></dates><accession>S-EPMC5322829</accession><cross_references><pubmed>27899692</pubmed><doi>10.1177/1087057116679993</doi></cross_references></HashMap>