Content Providers
Keywords: Databases or MSA or Proteomics or Teaching Aid or data management or infrastructure or metabolites or metabolome
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Jalview
Jalview (www.jalview.org) is free-to-use sequence alignment and analysis visualisation software that links genomic variants, protein alignments and 3D structure.
Protein, RNA and DNA data can be directly accessed from public databases (e.g. Pfam, Rfam, PDB, UniProt and ENA etc.). Jalview has...
0 events (2 past events)Jalview http://www.jalview.org/ https://tess.elixir-europe.org/content_providers/jalview Jalview (www.jalview.org) is free-to-use sequence alignment and analysis visualisation software that links genomic variants, protein alignments and 3D structure. Protein, RNA and DNA data can be directly accessed from public databases (e.g. Pfam, Rfam, PDB, UniProt and ENA etc.). Jalview has editing and annotation functionality within a fully integrated, multiple window interface. The sequence alignment programs Clustal Omega, Muscle, MAFFT, ProbCons, T-COFFEE, ClustalW, MSA Prob and GLProb can be run directly from within Jalview. Jalview integrates protein secondary structure prediction (JPred), generate trees, assesses consensus and conservation across sequence families. Journal quality figures can be generated from the results. The Jalview Desktop will run on Mac, MS Windows, Linux and any other platform that supports Java. It has been developed in Geoff Barton's group (www.compbio.dundee.ac.uk) in the School of Life Sciences (www.lifesci.dundee.ac.uk) at the University of Dundee with funding from the BBSRC and the Wellcome Trust. /system/content_providers/images/000/000/091/original/logo-boxg.png?1524735946 -
FAIRDOM
Research Infrastructure supporting life scientists in managing their data and models FAIRly. Specifically designed for interdisciplinary research such as systems biology, systems medicine, and synthetic biology.
0 events (2 past events)FAIRDOM https://fair-dom.org/ https://tess.elixir-europe.org/content_providers/fairdom Research Infrastructure supporting life scientists in managing their data and models FAIRly. Specifically designed for interdisciplinary research such as systems biology, systems medicine, and synthetic biology. /system/content_providers/images/000/000/100/original/Screen_Shot_2018-09-06_at_15.54.17.png?1536245244 -
FAIRsharing
FAIRsharing is a web-based, searchable portal of three interlinked registries, containing both in-house and crowdsourced manually curated descriptions of standards, databases and data policies, combined with an integrated view across all three types of resource. By registering your resource on...
1 training materialFAIRsharing https://www.fairsharing.org https://tess.elixir-europe.org/content_providers/fairsharing FAIRsharing is a web-based, searchable portal of three interlinked registries, containing both in-house and crowdsourced manually curated descriptions of standards, databases and data policies, combined with an integrated view across all three types of resource. By registering your resource on FAIRsharing, you not only gain credit for your work, but you increase its visibility outside of your direct domain, so reducing the potential for unnecessary reinvention and proliferation of standards and databases. /system/content_providers/images/000/000/109/original/FAIRsharing_logo.png?1544089458 -
proteomicsML
ProteomicsML provides ready-made datasets for machine learning models accompanied by tutorials on how to work with even the most complex data types in the field of proteomics. The resource is set up to evolve together with the field, and we welcome everyone to contribute to the project by adding...
1 training materialproteomicsML https://proteomicsml.org/ https://tess.elixir-europe.org/content_providers/proteomicsml ProteomicsML provides ready-made datasets for machine learning models accompanied by tutorials on how to work with even the most complex data types in the field of proteomics. The resource is set up to evolve together with the field, and we welcome everyone to contribute to the project by adding new datasets and accompanying notebooks. ProteomicsML was set up as a joint effort of SDU, CompOmics, LUMC, PeptideAtlas, NIST, PRIDE, and MSAID. We believe that ProteomicsML is solid step forward for the field towards more open and reproducible science! /system/content_providers/images/000/000/676/original/proteomicsml-logo.png?1686658675
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