Content Providers
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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 -
Seqera Labs
Founded by the creators of Nextflow, Seqera Labs mission is to foster the adoption of professional open source software and strengthen the community effort around the Nextflow ecosystem.
We organize training events for your team or organization. These are intended for...
0 events (1 past event)Seqera Labs http://www.seqera.io https://tess.elixir-europe.org/content_providers/seqera-labs Founded by the creators of [Nextflow](http://www.nextflow.io), Seqera Labs mission is to foster the adoption of professional open source software and strengthen the community effort around the Nextflow ecosystem. We organize training events for your team or organization. These are intended for anyone who wishes to learn about the technology, starting from basic through to advanced concepts. Our most popular intensive two-day course includes topics on containerization, cloud deployment, Git integration and best practices for reproducibility. /system/content_providers/images/000/000/111/original/Seqera_Labs_-_grey.png?1553771707 -
Workflow4metabolomics
In the context of collaboration between metabolomics (MetaboHUB French infrastructure) and bioinformatics platforms (IFB: Institut Français de Bioinformatique), we have developed full LC/MS, FIA-MS, GC/MS and NMR pipelines using Galaxy framework for data analysis including preprocessing,...
Workflow4metabolomics https://workflow4metabolomics.org http://86.50.228.192/content_providers/workflow4metaolomics In the context of collaboration between metabolomics (MetaboHUB French infrastructure) and bioinformatics platforms (IFB: Institut Français de Bioinformatique), we have developed full LC/MS, FIA-MS, GC/MS and NMR pipelines using Galaxy framework for data analysis including preprocessing, normalization, quality control, statistical analysis (Univariate, Multivariate PLS/OPLS) and annotation steps. Those modular and extensible workflows are composed with existing components (XCMS and CAMERA packages, etc.) but also a whole suite of complementary homemade tools. This implementation is accessible through a web interface, which guarantees the parameters completeness. The advanced features of Galaxy have made possible the integration of components from different sources and of different types. Thus, an extensible Virtual Research Environment (VRE) is offered to metabolomics communities (platforms, end users, etc.), and enables preconfigured workflows sharing for new users, but also experts in the field. /system/content_providers/images/000/000/659/original/17082156.png?1667905557