Content Providers
Keywords: Data Analysis or MSA or Education or Bioinformatics tools or Machine Learning
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Galaxy Training
The Galaxy Training Network is a global community of teachers, trainers, developers, administrators, and learners based around the Galaxy Platform!
For Learners
Our community provides over 370 high quality, peer-reviewed...556 training materials0 events (7 past events)Galaxy Training https://training.galaxyproject.org/ https://tess.elixir-europe.org/content_providers/galaxy-training The Galaxy Training Network is a global community of teachers, trainers, developers, administrators, and learners based around the [Galaxy Platform](https://galaxyproject.org)! **For Learners** Our community provides over [370 high quality](https://training.galaxyproject.org/), peer-reviewed training materials from a global community of [330 instructors](https://training.galaxyproject.org/training-material/hall-of-fame/), with a focus on reproducibility and [FAIRness](https://training.galaxyproject.org/training-material/faqs/gtn/fair_training.html). **Not Just Galaxy** We've expanded our content to include data science, software development, and even alternative <abbr title="scientific workflow management systems">SciWMSs</abbr> like snakemake! **For Teachers** All of our materials are [FAIR](https://training.galaxyproject.org/training-material/faqs/gtn/fair_training.html), and we put a lot of effort into the platform's [accessibility for all audiences.](https://training.galaxyproject.org/accessibility.html). If you're interested in [contributing your own materials](https://training.galaxyproject.org/training-material/topics/contributing/) we'd love to help you share them with the world! Most of our materials are licensed CC-BY-SA so you're welcome to use these materials for your own course and classes! If you want to use a specific version of a material you may be interested in accessing them via [our archive](https://training.galaxyproject.org/archive/). **For Administrators** If you're a budding Galaxy Administrator, or an experienced one looking to catch up, the GTN is the source for all of those materials. We also work to make it easy for you as an admin to support tutorials on your infrastructure, you'll find a list of tools and their installation instructions at the bottom of every tutorial. /system/content_providers/images/000/000/078/original/GTNLogo1000.png?1501677361 -
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://86.50.228.192/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://86.50.28.174/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 -
University of Ljubljana, Faculty of Medicine
Faculty of Medicine is part of University of Ljubljana, the oldest and largest institution of higher education in Slovenia. The faculty carries out research and provides training in the fields of medicine, dental medicine and life sciences.
University of Ljubljana, Faculty of Medicine https://www.mf.uni-lj.si/en https://86.50.228.192/content_providers/university-of-ljubljana-faculty-of-medicine Faculty of Medicine is part of University of Ljubljana, the oldest and largest institution of higher education in Slovenia. The faculty carries out research and provides training in the fields of medicine, dental medicine and life sciences. /system/content_providers/images/000/000/104/original/mf-znal.png?1539848321 -
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