BioContainers specifications

Unique identifier:
OMICS_17539
Interface:
Command line interface
Operating system:
Unix/Linux, Mac OS, Windows
Computer skills:
Advanced
Maintained:
Yes
Software type:
Framework/Library
Restrictions to use:
None
Programming languages:
Java, Python, Shell (Bash), Other
Stability:
Stable

versioning

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No versioning.

BioContainers distribution

download

BioContainers support

Maintainer

  • Yasset Perez-Riverol <>

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Credits

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Publications

Institution(s)

EMBL Outstation, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK; Department of Pathology, University of Michigan, Ann Arbor, MI, USA; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA; Bioinformatics Group, Department of Computer Science, Albert-Ludwigs-University Freiburg, Germany; Center for Biological Systems Analysis (ZBSA), Albert-Ludwigs-University Freiburg, Germany; Applied Bioinformatics, Wageningen University, Wageningen, Netherlands; Department of Genetics, Stanford University, USA; Medizinisches Proteom-Center, Ruhr-Universität Bochum, Germany; Proteomics Unit (PROBE), Department of Biomedicine, University of Bergen, Norway; Computational Biology Unit (CBU), Department of Informatics, University of Bergen, Norway; KG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, Norway; Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway; Computational Proteomics Unit and Cambridge Centre for Proteomics, Department of Biochemistry, University of Cambridge, UK; Center for Bioinformatics, University of Tübingen, Germany; Algorithmic Bioinformatics group, Freie Universität Berlin, Germany; Computational Biology Branch, National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA; Division of Immunology, Allergy and Infectious Diseases, Department of Dermatology, Medical University of Vienna, Austria

Funding source(s)

This work was supported by NIH grant numbers R01-GM-094231 and U24-CA0-210967, the Swiss National Science Foundation (SNSF grant P2EZP3 162268) and EMBO (ALTF 854-2015) the Bergen Research Foundation and the Research Council of Norway, BMBF (grant nos. FKZ 031 A 535A and FKZ 031 A 534A), US NIH BD2K grant [U54 GM114833], the BBSRC Strategic Longer and Larger grant (Award BB/L002817/1), EC Horizon 2020 grant agreement 654241.

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