Ongoing analysis of COVID-19 using Galaxy, BioConda and public research infrastructures https://covid19.galaxyproject.org
Space: COVID-19 Biohackathon
SEEK ID: https://workflowhub.eu/projects/3
Public web page: https://github.com/galaxyproject/SARS-CoV-2
Organisms: Homo sapiens, Sars-cov-2
WorkflowHub PALs: No PALs for this Team
Team created: 8th Apr 2020
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Teams: GalaxyProject SARS-CoV-2, usegalaxy.be workflows, EuroScienceGateway
Organizations: ELIXIR Belgium, VIB
https://orcid.org/0000-0001-6565-5145Teams: GalaxyProject SARS-CoV-2, Galaxy Training Network
Organizations: ELIXIR Belgium
https://orcid.org/0000-0003-0522-5674Teams: GalaxyProject SARS-CoV-2
Organizations: BC Centre for Disease Control
https://orcid.org/0000-0002-6178-3585Expertise: Bioinformatics, Data Management, Molecular Biology
Tools: Databases, PCR, Workflows, Web services
Teams: usegalaxy-eu, GalaxyProject SARS-CoV-2
Organizations: European Galaxy Team
https://orcid.org/0000-0002-9464-6640Teams: usegalaxy-eu, Galaxy Training Network, GalaxyProject SARS-CoV-2
Organizations: Galaxy
https://orcid.org/0000-0002-5987-8032Teams: GalaxyProject SARS-CoV-2, nf-core viralrecon, EOSC-Life - Demonstrator 7: Rare Diseases, iPC: individualizedPaediatricCure, EJPRD WP13 case-studies workflows, TransBioNet, OpenEBench, ELIXIR Proteomics
Organizations: Barcelona Supercomputing Center (BSC-CNS), ELIXIR
https://orcid.org/0000-0003-4929-1219Expertise: Bioinformatics, Computer Science, AI, Machine Learning
Computer Engineer in Barcelona Supercomputing Center (BSC)
Teams: IBISBA Workflows, GalaxyProject SARS-CoV-2, BioBB Building Blocks, Common Workflow Language (CWL) community, BioExcel Best Practice Guides, Specimen Data Refinery, FAIR Computational Workflows, Vertebrate Genomes Pipelines in Galaxy, TRE-FX, EuroScienceGateway, Biodiversity Genomics Europe (general), BY-COVID Baseline Use Case: SARS-CoV-2 Vaccine(s) effectiveness in preventing SARS-CoV-2 infection, BY-COVID (general), BioDT additional pipelines, BioDT Use Case 4.1.1.1 Biodiversity dynamics, BioDT Use Case 4.1.2.2 DNA detected biodiversity, poorly known habitats, BioDT Use Case 4.1.2.1 Crop wild relatives and genetic resources for food security, BioDT Use Case 4.1.3.1 Invasive species, BioDT Use Case 4.1.3.2 Endangered species, BioDT Use Case 4.1.4.1 Disease outbreaks, BioDT Use Case 4.1.4.2 Pollinators, BioDT Use Case 4.1.1.2 Ecosystem services, ELIXIR Training, ELIXIR Tools platform
Organizations: The University of Manchester, ELIXIR-UK
https://orcid.org/0000-0001-9842-9718Teams: GalaxyProject SARS-CoV-2
Organizations: Earlham Institute
https://orcid.org/0000-0003-3627-5340Expertise: Bioinformatics
Tools: Galaxy
The goal of COVID-19-Biohackathon 2020 (COVID-19-BH20) is to develop and gather computational tools that can be useful for studying the biology of the virus and the disease.
The COVID-19 Programme in Workflow Hub aims to gather workflows for the analysis of COVID-19 molecular biology data and their metadata. In this programme, all workflows and their metadata will be curated and made interoperable, reusable and reproducible. All workflows and their metadata will be easily accessible to everyone ...
Teams: Connor Lab, GalaxyProject SARS-CoV-2, InSaFLU, nf-core viralrecon, CWL workflow SARS-CoV-2, V-Pipe, Test team
Web page: https://github.com/virtual-biohackathons/covid-19-bh20
The goal of this workshop is to build capacity in SARS-CoV-2 data analysis and data management, including data submission to ENA. After the workshop, all participants will be able to upload viral sequencing data, call all variants, create a variety of reports and create consensus alignments.
It will be a 4-day event introducing scalable and reproducible SARS-CoV-2 data analysis with Galaxy. The sessions will be pre-recorded and provided in advance. During the workshop, there will be live support ...
Start Date: 9th Aug 2021
End Date: 12th Aug 2021
Event Website: https://galaxyproject.eu/event/2021-06-21-sars-cov-2-data-analysis-monitoring-training/
Country: Not specified
City: Virtual
Alignment, assembly and annotation of RNQSEQ reads using TOPHAT (without filtering out host reads).
Alignment, assembly RNASEQ reads and annotation of generated transcripts.
Alignment, assembly and annotation of RNASEQ reads as well as annotation of generated transcripts.
Alignment, assembly and annotation of generated transcripts from RNASEQ reads.
Detects SNPs and INDELs using VARSCAN2.
This workflow is used for the virtual screening of the SARS-CoV-2 main protease (de.NBI-cloud, STFC). It includes Charge enumeration, Generation of 3D conformations, Preparation of active site for docking using rDock, Docking, Scoring and Selection of compounds available. More info can be found at https://covid19.galaxyproject.org/cheminformatics/
Type: Galaxy
Creator: Tim Dudgeon, Simon Bray, Gianmauro Cuccuru, Björn Grüning, Rachael Skyner, Jack Scantlebury, Susan Leung, Frank von Delft
Submitter: Bert Droesbeke
This workflow combines SDF files from all fragments into a single dataset and filters to include only the lowest (best) scoring pose for each compound. This file of optimal poses for all ligands is used to compare to a database of Enamine and Chemspace compounds to select the best scoring 500 matches. More info can be found at https://covid19.galaxyproject.org/cheminformatics/
Type: Galaxy
Creator: Tim Dudgeon, Simon Bray, Gianmauro Cuccuru, Björn Grüning, Rachael Skyner, Jack Scantlebury, Susan Leung, Frank von Delft
Submitter: Bert Droesbeke
This workflow generates binding scores that correlate well with binding affinities using an additional tool TransFS, developed at Oxford University. More info can be found at https://covid19.galaxyproject.org/cheminformatics/
Type: Galaxy
Creator: Tim Dudgeon, Simon Bray, Gianmauro Cuccuru, Björn Grüning, Rachael Skyner, Jack Scantlebury, Susan Leung, Frank von Delft
Submitter: Bert Droesbeke
This workflow generates binding scores that correlate well with binding affinities using an additional tool SuCOS Max, developed at Oxford University. More info can be found at https://covid19.galaxyproject.org/cheminformatics/
Type: Galaxy
Creator: Tim Dudgeon, Simon Bray, Gianmauro Cuccuru, Björn Grüning, Rachael Skyner, Jack Scantlebury, Susan Leung, Frank von Delft
Submitter: Bert Droesbeke
Docking performed by rDock using as 3 different kind of inputs. More info can be found at https://covid19.galaxyproject.org/cheminformatics/
Type: Galaxy
Creator: Tim Dudgeon, Simon Bray, Gianmauro Cuccuru, Björn Grüning, Rachael Skyner, Jack Scantlebury, Susan Leung, Frank von Delft
Submitter: Bert Droesbeke
This workflow generates a file describing the active site of the protein for each of the fragment screening crystal structures using rDock s rbcavity. It also creates a single hybrid molecule that contains all the ligands - the "frankenstein" ligand. More info can be found at https://covid19.galaxyproject.org/cheminformatics/
Type: Galaxy
Creator: Tim Dudgeon, Simon Bray, Gianmauro Cuccuru, Björn Grüning, Rachael Skyner, Jack Scantlebury, Susan Leung, Frank von Delft
Submitter: Bert Droesbeke
This workflow is used form the preparation of protein and ligands for docking. More info can be found at https://covid19.galaxyproject.org/cheminformatics/
Type: Galaxy
Creator: Tim Dudgeon, Simon Bray, Gianmauro Cuccuru, Björn Grüning, Rachael Skyner, Jack Scantlebury, Susan Leung, Frank von Delft
Submitter: Bert Droesbeke
This workflow employs a recombination detection algorithm (GARD) developed by Kosakovsky Pond et al. and implemented in the hyphy package. More info can be found at https://covid19.galaxyproject.org/genomics/
Type: Galaxy
Creator: Dannon Baker, Marius van den Beek, Dave Bouvier, John Chilton, Nate Coraor, Frederik Coppens, Bert Droesbeke, Ignacio Eguinoa, Simon Gladman, Björn Grüning, Delphine Larivière, Gildas Le Corguillé, Andrew Lonie, Nicholas Keener, Sergei Kosakovsky Pond, Wolfgang Maier, Anton Nekrutenko, James Taylor, Steven Weaver
Submitter: Bert Droesbeke
Analysis of S-protein polymorphism. This workflow includes: obtaining coding sequences of S proteins from a diverse group of coronaviruses and generating amino acid alignments to assess conservation of the polymorphic location. More info can be found at https://covid19.galaxyproject.org/genomics/
Type: Galaxy
Creator: Dannon Baker, Marius van den Beek, Dave Bouvier, John Chilton, Nate Coraor, Frederik Coppens, Bert Droesbeke, Ignacio Eguinoa, Simon Gladman, Björn Grüning, Delphine Larivière, Gildas Le Corguillé, Andrew Lonie, Nicholas Keener, Sergei Kosakovsky Pond, Wolfgang Maier, Anton Nekrutenko, James Taylor, Steven Weaver
Submitter: Bert Droesbeke
Analysis of variation within individual COVID-19 samples using Illumina Single End data. More info can be found at https://covid19.galaxyproject.org/genomics/
Type: Galaxy
Creator: Dannon Baker, Marius van den Beek, Dave Bouvier, John Chilton, Nate Coraor, Frederik Coppens, Bert Droesbeke, Ignacio Eguinoa, Simon Gladman, Björn Grüning, Delphine Larivière, Gildas Le Corguillé, Andrew Lonie, Nicholas Keener, Sergei Kosakovsky Pond, Wolfgang Maier, Anton Nekrutenko, James Taylor, Steven Weaver
Submitter: Bert Droesbeke
Analysis of variation within individual COVID-19 samples using Illumina Paired End data. More info can be found at https://covid19.galaxyproject.org/genomics/
Type: Galaxy
Creator: Dannon Baker, Marius van den Beek, Dave Bouvier, John Chilton, Nate Coraor, Frederik Coppens, Bert Droesbeke, Ignacio Eguinoa, Simon Gladman, Björn Grüning, Delphine Larivière, Gildas Le Corguillé, Andrew Lonie, Nicholas Keener, Sergei Kosakovsky Pond, Wolfgang Maier, Anton Nekrutenko, James Taylor, Steven Weaver
Submitter: Bert Droesbeke
Dating the most recent common ancestor (MRCA) of SARS-CoV-2. The workflow is used to extract full length sequences of SARS-CoV-2, tidy up their names in FASTA files, produce a multiple sequences alignment and compute a maximum likelihood tree. More info can be found at https://covid19.galaxyproject.org/genomics/
Type: Galaxy
Creator: Dannon Baker, Marius van den Beek, Dave Bouvier, John Chilton, Nate Coraor, Frederik Coppens, Bert Droesbeke, Ignacio Eguinoa, Simon Gladman, Björn Grüning, Delphine Larivière, Gildas Le Corguillé, Andrew Lonie, Nicholas Keener, Sergei Kosakovsky Pond, Wolfgang Maier, Anton Nekrutenko, James Taylor, Steven Weaver
Submitter: Bert Droesbeke
This workflow uses Illumina and Oxford Nanopore reads that were pre-processed to remove human-derived sequences. Two assembly tools are used: spades and unicycler. In addition to assemblies (actual sequences) the two tools produce assembly graphs that can be used for visualization of assembly with bandage. More info can be found at https://covid19.galaxyproject.org/genomics/
Type: Galaxy
Creator: Dannon Baker, Marius van den Beek, Dave Bouvier, John Chilton, Nate Coraor, Frederik Coppens, Bert Droesbeke, Ignacio Eguinoa, Simon Gladman, Björn Grüning, Delphine Larivière, Gildas Le Corguillé, Andrew Lonie, Nicholas Keener, Sergei Kosakovsky Pond, Wolfgang Maier, Anton Nekrutenko, James Taylor, Steven Weaver
Submitter: Bert Droesbeke
Preprocessing of raw SARS-CoV-2 reads. This workflow contains an alternate starting point to avoid the data to be downloaded from the NCBI SRA. More info can be found at https://covid19.galaxyproject.org/genomics/
Type: Galaxy
Creator: Dannon Baker, Marius van den Beek, Dave Bouvier, John Chilton, Nate Coraor, Frederik Coppens, Bert Droesbeke, Ignacio Eguinoa, Simon Gladman, Björn Grüning, Delphine Larivière, Gildas Le Corguillé, Andrew Lonie, Nicholas Keener, Sergei Kosakovsky Pond, Wolfgang Maier, Anton Nekrutenko, James Taylor, Steven Weaver
Submitter: Bert Droesbeke
The COVID-19 pandemic is the first global health crisis to occur in the age of big genomic data. Although data generation capacity is well established and sufficiently standardized, analytical capacity is not. To establish analytical capacity it is necessary to pull together global computational resources and deliver the best open source tools and analysis workflows within a ready to use, universally accessible resource. Such a resource should not be controlled by a single research group, ...