- People (25)
- Spaces (4)
- Teams (10)
- Organizations (15)
- SOPs (3)
- Publications (4)
- Events (1)
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- Documents (2)
- Workflows (67)
Teams: MPDS, MPDS Covid19
Organizations: CSIR-North East Institute of Science and Technology
Teams: 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: GalaxyProject SARS-CoV-2
Organizations: Albert-Ludwigs-Universität Freiburg
https://orcid.org/0000-0002-3219-9240Teams: V-Pipe
Organizations: SIB - Swiss Institute of Bioinformatics
https://orcid.org/0000-0002-7561-0810Expertise: Bioinformatics, Software Engineering
Medical doctor and bioinformatician
Developer from the Swiss Institute of Bioinformatics (SIB) Working at the Computational Biology Group (CBG) of ETH Zurich.
Diplom in Medicine. MSc in Bioinformatics and Proteomics.
I am also a ski teacher as a hobby.
Teams: GalaxyProject SARS-CoV-2
Organizations: Earlham Institute
https://orcid.org/0000-0003-3627-5340Expertise: Bioinformatics
Tools: Galaxy
Teams: GalaxyProject SARS-CoV-2, Galaxy Training Network
Organizations: ELIXIR Belgium
https://orcid.org/0000-0003-0522-5674Teams: usegalaxy-eu, GalaxyProject SARS-CoV-2
Organizations: European Galaxy Team
https://orcid.org/0000-0002-9464-6640Teams: IBISBA Workflows, nf-core viralrecon, Testing, Defragmentation TS, EuroScienceGateway, ELIXIR Training
Organizations: The University of Manchester
Teams: 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)
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
Teams: MPDS, MPDS Covid19
The BeYond-COVID project (BY-COVID) aims to make COVID-19 data accessible to scientists in laboratories but also to anyone who can use it, such as medical staff in hospitals or government officials.
Pursuing to go beyond SARS-CoV-2 data, the project will serve as the groundwork to make data from other infectious diseases open and accessible to everyone.
The BY-COVID project strives to simplify data access and reuse through four key ‘pillars’:
- Mobilise data: ensuring ...
Teams: BY-COVID Baseline Use Case: SARS-CoV-2 Vaccine(s) effectiveness in preventing SARS-CoV-2 infection
Web page: https://by-covid.org/
A space managed by WorkflowHub administrators for teams that don't want/need to manage their own space.
Teams: IBISBA Workflows, NMR Workflow, UNLOCK, NanoGalaxy, Galaxy Climate, PNDB, IMBforge, COVID-19 PubSeq: Public SARS-CoV-2 Sequence Resource, LBI-RUD, Nick-test-team, usegalaxy-eu, Italy-Covid-data-Portal, UX trial team, Integrated and Urban Plant Pathology Laboratory, SARS-CoV-2 Data Hubs, lmjxteam2, virAnnot pipeline, Ay Lab, iPC: individualizedPaediatricCure, Harkany Lab, MOLGENIS, EJPRD WP13 case-studies workflows, Common Workflow Language (CWL) community, Testing, SeBiMER, IAA-CSIC, MAB - ATGC, Probabilistic graphical models, GenX, Snakemake-Workflows, ODA, IPK BIT, CO2MICS Lab, FAME, CHU Limoges - UF9481 Bioinformatique / CNR Herpesvirus, Quadram Institute Bioscience - Bioinformatics, HecatombDevelopment, Institute of Human Genetics, Testing RO Crates, Test Team, Applied Computational Biology at IEG/HMGU, INFRAFRONTIER workflows, OME, TransBioNet, OpenEBench, Bioinformatics and Biostatistics (BIO2 ) Core, VIB Bioinformatics Core, CRC Cohort, ICAN, MustafaVoh, Single Cell Unit, CO-Graph, emo-bon, TestEMBL-EBIOntology, CINECA, Toxicology community, Pitagora-Network, Workflows Australia, Medizinisches Proteom-Center, Medical Bioinformatics, AGRF BIO, EU-Openscreen, X-omics, ELIXIR Belgium, URGI, Size Inc, GA-VirReport Team, The Boucher Lab, Air Quality Prediction, pyiron, CAPSID, Edinburgh Genomics, Defragmentation TS, NBIS, Phytoplankton Analysis, Seq4AMR, Workflow registry test, Read2Map, SKM3, ParslRNA-Seq: an efficient and scalable RNAseq analysis workflow for studies of differentiated gene expression, de.NBI Cloud, Meta-NanoSim, ILVO Plant Health, EMERGEN-BIOINFO, KircherLab, Apis-wings, BCCM_ULC, Dessimoz Lab, TRON gGmbH, GEMS at MLZ, Computational Science at HZDR, Big data in biomedicine, TRE-FX, MISTIC, Guigó lab, Statistical genetics, Delineating Regions-of-interest for Mass Spectrometry Imaging by Multimodally Corroborated Spatial Segmentation, OLCF-WES, Bioinformatics Unit @ CRG, Bioinformatics Innovation Lab, BSC-CES, ELIXIR Proteomics, Black Ochre Data Labs, Zavolan Lab, Metabolomics-Reproducibility, Team Cardio, NGFF Tools, Bioinformatics workflows for life science, Workflows for geographic science, Pacific-deep-sea-sponges-microbiome, CSFG, SNAKE, Katdetectr, INFRAFRONTIER GmbH, PerMedCoE, Euro-BioImaging, EOSC-Life WP3 OC Team, cross RI project, ANSES-Ploufragan, SANBI Pathogen Bioinformatics, Biodata Analysis Group, DeSci Labs, Erasmus MC - Viroscience Bioinformatics, ARA-dev, Mendel Centre for Plant Genomics and Proteomics, Metagenomic tools, WorkflowEng, Polygenic Score Catalog, bpm, scNTImpute, Systems Biotechnology laboratory, Cimorgh IT solutions, MLme: Machine Learning Made Easy, Hurwitz Lab, Dioscuri TDA, Scipion CNB, System Biotechnology laboratory, yPublish - Bioinfo tools, NIH CFDE Playbook Workflow Partnership, MMV-Lab, EMBL-CBA, EBP-Nor, Evaluation of Swin Transformer and knowledge transfer for denoising of super-resolution structured illumination microscopy data, Bioinformatics Laboratory for Genomics and Biodiversity (LBGB), multi-analysis dFC, CholGen, RNA group, Plant Genomes Pipelines in Galaxy, Pathogen Genomic Laboratory, Chemical Data Lab, JiangLab, Pangenome database project, HP2NET - Framework for construction of phylogenetic networks on High Performance Computing (HPC) environment, Center for Open Bioimage Analysis, Generalized Open-Source Workflows for Atomistic Molecular Dynamics Simulations of Viral Helicases, Historical DNA genome skimming, QCDIS, Peter Menzel's Team, NHM Clark group, ESRF Workflow System (Ewoks), Kalbe Bioinformatics, Nextflow4Metabolomics, GBCS, CEMCOF, Jackson Laboratory NGS-Ops, Schwartz Lab, BRAIN - Biomedical Research on Adult Intracranial Neoplasms, Cancer Therapeutics and Drug Safety, Deepdefense, Mid-Ohio Regional Planning Commission, MGSSB, Institute for Human Genetics and Genomic Medicine Aachen, FengTaoSMU, EGA, Plant-Food-Research-Open, KrauthammerLab, Geo Workflows, grassland pDT, FunGIALab, CRIM - Computer Research Institute of Montréal, Medvedeva Lab, Metagenlab, FAIR-EASE, Protein-protein and protein-nucleic acid binding site prediction research, Culhane Lab, IDUN - Drug Delivery and Sensing, Edge Computing DAG Task Scheduling Research Group, Stratum corneum nanotexture feature detection using deep learning and spatial analysis: a non-invasive tool for skin barrier assessment, COPO, Taudière group, ErasmusMC Clinical Bioinformatics, interTwin, fluid flow modeling, EnrichDO, WorkflowResearch, Application Security - Test Crypt4GH solutions, RenLabBioinformatics, Yongxin's team, PiFlow, HLee_SeoGroup, UFZ - Image Data Management and Processing Workflows, Korean Bioinformaticians, Into the deep, XChem
Web page: Not specified
Currently in progress
Space: Molecular Property Diagnostic Suite
Public web page: https://www.mpds.neist.res.in:8085
Organisms: Not specified
Space: Independent Teams
Public web page: http://covid-19.genenetwork.org/
Organisms: Not specified
Ongoing analysis of COVID-19 using Galaxy, BioConda and public research infrastructures https://covid19.galaxyproject.org
Space: COVID-19 Biohackathon
Public web page: https://github.com/galaxyproject/SARS-CoV-2
Organisms: Homo sapiens, SARS-CoV-2
The SARS-CoV-2 Data Hubs form one of the three components of the European COVID-19 Data Platform. Using technology that builds upon existing EMBL-EBI infrastructure, we provide SARS-CoV-2 Data Hubs to those public health agencies and other scientific groups responsible for generating viral sequence data from the outbreak at national or regional levels. SARS-CoV-2 Data Hubs offer a variety of configurations in terms of upload tools, data processing and analysis workflows and data visualisations.
Space: Independent Teams
Public web page: https://www.covid19dataportal.org/
Organisms: SARS-CoV-2
Nextflow pipelines for running the ARTIC network's fieldbioinformatics tools (https://github.com/artic-network/fieldbioinformatics), with a focus on ncov2019
Space: COVID-19 Biohackathon
Public web page: https://github.com/connor-lab/ncov2019-artic-nf
Organisms: Homo sapiens, SARS-CoV-2
INSaFLU (“INSide the FLU”) is an influenza-oriented bioinformatics free web-based platform for an effective and timely whole-genome-sequencing-based influenza laboratory surveillance.
Space: COVID-19 Biohackathon
Public web page: https://github.com/INSaFLU/INSaFLU
Organisms: Homo sapiens, SARS-CoV-2
nfcore/viralrecon is a bioinformatics analysis pipeline used to perform assembly and intrahost/low-frequency variant calling for viral samples. The pipeline currently supports metagenomics and amplicon sequencing data derived from the Illumina sequencing platform.
Space: COVID-19 Biohackathon
Public web page: https://github.com/nf-core/viralrecon
Organisms: Homo sapiens, SARS-CoV-2
CWL workflows related to virus genomics with focus on SARS-CoV-2.
Space: COVID-19 Biohackathon
Public web page: https://github.com/fjrmoreews/cwl-workflow-SARS-CoV-2
Organisms: Homo sapiens, SARS-CoV-2
Space: COVID-19 Biohackathon
Public web page: Not specified
Organisms: Homo sapiens, SARS-CoV-2
Space: COVID-19 Biohackathon
Public web page: Not specified
Organisms: Not specified
Detects SNPs and short INDELs.
Creator: Ambarish Kumar
Submitter: Ambarish Kumar
Detects SNPs and short INDELs.
Creator: Ambarish Kumar
Submitter: Ambarish Kumar
Creator: Ambarish Kumar
Submitter: Ambarish Kumar
Abstract (Expand)
Authors: Yasmmin Côrtes Martins, Ronaldo Francisco da Silva
Date Published: 27th Sep 2023
Publication Type: Journal
DOI: 10.1101/2023.09.26.559599
Citation: biorxiv;2023.09.26.559599v1,[Preprint]
Abstract (Expand)
Authors: Vítor Borges, Miguel Pinheiro, Pedro Pechirra, Raquel Guiomar, João Paulo Gomes
Date Published: 1st Dec 2018
Publication Type: InProceedings
DOI: 10.1186/s13073-018-0555-0
Citation: Genome Med 10(1)
Abstract (Expand)
Authors: Yasmmin Martins, Ronaldo Francisco da Silva
Date Published: 22nd Jun 2023
Publication Type: Journal
DOI: 10.1101/2023.06.22.546079
Citation: biorxiv;2023.06.22.546079v1,[Preprint]
Abstract (Expand)
Authors: Cristina S. Ferreira, Yasmmin C. Martins, Rangel Celso Souza, Ana Tereza R. Vasconcelos
Date Published: 2021
Publication Type: Journal
DOI: 10.7717/peerj.12548
Citation: PeerJ 9:e12548
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
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, ...
The document contains six case studies which have been implemented using different module of MPDS Covid-19
Creator: G Narahari Sastry
Submitter: G Narahari Sastry
Creator: johan Rollin
Submitter: johan Rollin
covid-sequence-analysis-workflow
This is the official repository of the SARS-CoV-2 variant surveillance pipeline developed by Danish Technical University (DTU), Eotvos Lorand University (ELTE), EMBL-EBI, Erasmus Medical Center (EMC) under the Versatile Emerging infectious disease Observatory (VEO) project. The project consists of 20 European partners. It is funded by the European Commission.
The ...
Detects SNPs and INDELs using VARSCAN2.
Galaxy version of pre-processing of reads from COVID-19 samples. QC + human read cleaning Based on https://github.com/Finn-Lab/Metagen-FastQC/blob/master/metagen-fastqc.sh
Type: Common Workflow Language
Creators: Pjotr Prins, Andrea Guarracino, Peter Amstutz, Thomas Liener, Adam M. Novak, Bonface Munyoki, Tazro Inutano, Michael Heuer, Michael R. Crusoe, Stian Soiland-Reyes
Submitter: Michael R. Crusoe
Rbbt implementation of the Covid-19 pilot workflow from the Personalized Medicine Center of Excellence.
This workflow processes single cell data to personalize boolean models that are then used in a multi-scale cellular simulation using PhysiBoSS.
COVID-19 Multiscale Modelling of the Virus and Patients’ Tissue Workflow
Table of Contents
COVID-19 Multiscale Modelling of the Virus and Patients’ Tissue Workflow
Table of Contents
COVID-19 Multiscale Modelling of the Virus and Patients’ Tissue Workflow
Table of Contents
A R workflow for proteomics data analysis is reported. This pipeline was basing on protein expression projects, stored on the PRIDE database and reported on the COVID-19 Data portal. This is an R pipeline to analyze protein expression data, built on lung cell lines infected by SARS-CoV-2 variants: B.1, Delta, and Omicron BA.1 (Mezler et al. 2023) https://www.ebi.ac.uk/pride/archive/projects/PXD037265. This pipeline can obtain DEPs for each variant, starting from normalized protein expression ...
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
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
COVID-19: variation analysis on WGS SE data
This workflows performs single end read mapping with bowtie2 followed by sensitive variant calling across a wide range of AFs with lofreq and variant annotation with snpEff 4.5covid19.
COVID-19: variation analysis on WGS PE data
This workflows performs paired end read mapping with bwa-mem followed by sensitive variant calling across a wide range of AFs with lofreq and variant annotation with snpEff 4.5covid19.
Analysis of variation within individual COVID-19 samples using bowtie2, bwa, fastp, multiqc , picard ,samtools, snpEff Workflow, tools and data are available on https://github.com/fjrmoreews/cwl-workflow-SARS-CoV-2/tree/master/Variation This worklow was ported into CWL from a Galaxy Workflow ( https://github.com/galaxyproject/SARS-CoV-2/tree/master/genomics/4-Variation migrated to CWL).
COVID-19: variation analysis on ARTIC PE data
The workflow for Illumina-sequenced ampliconic data builds on the RNASeq workflow for paired-end data using the same steps for mapping and variant calling, but adds extra logic for trimming amplicon primer sequences off reads with the ivar package. In addition, this workflow uses ivar also to identify amplicons affected by primer-binding site mutations and, if possible, excludes reads derived from such ...
COVID-19: variation analysis on ARTIC ONT data
This workflow for ONT-sequenced ARTIC data is modeled after the alignment/variant-calling steps of the ARTIC pipeline. It performs, essentially, the same steps as that pipeline’s minion command, i.e. read mapping with minimap2 and variant calling with medaka. Like the Illumina ARTIC workflow it uses ivar for primer trimming. Since ONT-sequenced reads have a much ...
Find and annotate variants in ampliconic SARS-CoV-2 Illumina sequencing data and classify samples with pangolin and nextclade
COVID-19: consensus construction
This workflow aims at generating reliable consensus sequences from variant calls according to transparent criteria that capture at least some of the complexity of variant calling.
It takes a collection of VCFs (with DP and DP4 INFO fields) and a collection of the corresponding aligned reads (for the purpose of calculating genome-wide coverage) such as produced by any of the variant calling workflows in ...
This workflow takes a VCF dataset of variants produced by any of the *-variant-calling workflows in https://github.com/galaxyproject/iwc/tree/main/workflows/sars-cov-2-variant-calling and generates tabular lists of variants by Samples and by Variant, and an overview plot of variants and their allele-frequencies.