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  • CWLEXEC: Run Common Workflow Language on HPC with IBM Spectrum LSF

    28 February 2018

    CWLEXEC: Run Common Workflow Language on HPC with IBM Spectrum LSF The [Common Workflow Language (CWL)]( is a community-led specification for describing analysis _workflows_ and tools in a way that makes them portable and scalable across a variety of software and hardware environments, from workstations to cluster, cloud, and _high performance computing_ (HPC) environments. [IBM Spectrum LSF]( (formerly IBM Platform LSF) is a complete workload management solution for demanding HPC environments. Featuring intelligent, policy-driven scheduling, it helps organizations accelerate research and design while controlling costs through superior resource utilization. Recognizing the popularity of CWL among LSF users, we introduce a new open source project **CWLEXEC** to support running CWL workflows on LSF. The project will feature smooth integration with LSF with high efficiency and scalability, self-healing of workflows, support user-specified submission options while keeping CWL definitions portable, and other benefits. * **Title**: CWLEXEC: A new open source tool to run CWL workflows on LSF * **Presenter:** Qingda Wang, Principal Architect, IBM Spectrum LSF Family Products and OEM * **Time**: 2018-02-28 14:00 GMT / 15:00 CET 2018-02-28 14:00:00 UTC 2018-02-28 15:00:00 UTC BioExcel Bioinformatics Genomics Workflows University of ManchesterBioExcel CoE Stian Soiland-Reyes [] bioinformaticiansHPC users workshops_and_courses registration_of_interest WorkflowsCWLHPCLSF
  • Workshop on High-Content Imaging and Data Science for Virtual Screening and Drug Discovery

    13 - 17 May 2019

    Bled, Slovenia

    Elixir node event
    Workshop on High-Content Imaging and Data Science for Virtual Screening and Drug Discovery High-throughput phenotypic screening, based on high-content imaging, is increasingly often used as a tool for drug discovery. Compound screens are used to find hits that produce the desired phenotypes in relevant cellular assays. Genomic screens are used to elucidate the underlying molecular pathways and identify suitable drug targets. Since high-content screening produces a lot of data, data science approaches such as statistics, machine learning and neural networks can help interpret the collected data. Just as virtual screening can be performed in chemoinformatics (learning predictive models for QSAR - quantitative structure-activity relations) from data obtained through compound screens, similar approaches can be taken in the context of high-throughput phenotypic screening. This will be the first event of its kind in the region of Slovenia and Friuli-Venezia-Giulia. The event will bring together a group of experts covering different topics in the fields of high-content screening, image analysis, chemoinformatics and machine learning. This will allow graduate students and researchers from both academia and industry to familiarize themselves with these cutting-edge topics. The workshop will have an impact on both the academic and industrial sector in the region (e.g. biotech companies of all sizes). The workshop is part of the INTERREG V-A Italy-Slovenia 2014-2020 project TRAIN (Big Data and Disease Models: A Cross- border Platform for Validated Biotech Industry Kits), which brings together experts on the topic from academia and industry. 2019-05-13 09:00:00 UTC 2019-05-17 18:00:00 UTC Jozef Stefan Institute, Ljubljana, Slovenia Rikli Balance Hotel, Cankarjeva cesta 4, SI-4260 Bled, Slovenia, Bled, Slovenia Rikli Balance Hotel, Cankarjeva cesta 4, SI-4260 Bled, Slovenia Bled Gorenjska Slovenia SI-4260 Drug discovery Genomics Rikli Balance Hotel European UnionINTERREG V-A Italy-Slovenia 2014-2020 project TRAIN PhD studentsGraduate studentsResearchersBusiness EntrepreneursBiotechnology CompaniesPharmaceutical Industry workshops_and_courses registration_of_interest INTERREGPhenotypic screeningData analysisVirtual ScreeningHigh-content imaging
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