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10.1177/1087057116679993 http://scihub22266oqcxt.onion/10.1177/1087057116679993 C5322829!5322829!27899692     free     free     free Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       SLAS+Discov 2017 ; 22 (3): 238-49 Nephropedia Template TP {{tp|p=27899692|t=2017. Jenkins-CI, an Open-Source Continuous Integration System, as a Scientific Data and Image-Processing Platform |pdf=|usr=}}{{27899692}} gab.com Text Jenkins-CI, an Open-Source Continuous Integration System, as a Scientific Data and Image-Processing Platform JO: SLAS Discov http://www.kidney.de/pget.php?&tw=1&pmid=27899692 #FOAvip 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 CellProfiler, an open-source image-processing platform, with various HCS utilities and a high-performance Linux cluster. The platform is web-accessible, facilitates access and sharing of high-performance compute resources, and automates previously cumbersome data and image-processing tasks. Imaging pipelines developed using the desktop CellProfiler client can be managed and shared through a centralized Jenkins-CI repository. Pipelines and managed data are annotated to facilitate collaboration and reuse. Limitations with Jenkins-CI (primarily around the user interface) were addressed through the selection of helper plugins from the Jenkins-CI community. Twit Text FOAVip Jenkins-CI, an Open-Source Continuous Integration System, as a Scientific Data and Image-Processing Platform ????SLAS Discov http://www.kidney.de/pget.php?&tw=1&pmid=27899692 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27899692 #FOAvip English Wikipedia <ref>{{Cite pmid|27899692}}</ref> Jenkins-CI, an Open-Source Continuous Integration System, as a Scientific Data and Image-Processing Platform #MMPMID27899692 Moutsatsos IK; Hossain I; Agarinis C; Harbinski F; Abraham Y; Dobler L; Zhang X; Wilson CJ; Jenkins JL; Holway N; Tallarico J; Parker CN SLAS Discov 2017[Mar]; 22 (3): 238-49 PMID27899692show ga 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 CellProfiler, an open-source image-processing platform, with various HCS utilities and a high-performance Linux cluster. The platform is web-accessible, facilitates access and sharing of high-performance compute resources, and automates previously cumbersome data and image-processing tasks. Imaging pipelines developed using the desktop CellProfiler client can be managed and shared through a centralized Jenkins-CI repository. Pipelines and managed data are annotated to facilitate collaboration and reuse. Limitations with Jenkins-CI (primarily around the user interface) were addressed through the selection of helper plugins from the Jenkins-CI community. äJenkins-CI, an Open-Source Continuous Integration System, as a Scienti(epmc).pdf DeepDyve Pubget Overpricing