GalaxyProject SARS-CoV-2
OverviewOngoing 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
Related items
Teams: GalaxyProject SARS-CoV-2, Galaxy Training Network
Organizations: ELIXIR Belgium
https://orcid.org/0000-0003-0522-5674
Teams: GalaxyProject SARS-CoV-2
Organizations: BC Centre for Disease Control
https://orcid.org/0000-0002-6178-3585
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).
DownloadAlignment, 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.
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, ...
