GalaxyProject SARS-CoV-2

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 ...

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 ...

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.

Detects SNPs and INDELs.

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/

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/

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/

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/

Docking performed by rDock using as 3 different kind of inputs. More info can be found at https://covid19.galaxyproject.org/cheminformatics/

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/

This workflow is used form the preparation of protein and ligands for docking. More info can be found at https://covid19.galaxyproject.org/cheminformatics/

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/

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/

Analysis of variation within individual COVID-19 samples using Illumina Single End data. More info can be found at https://covid19.galaxyproject.org/genomics/

Analysis of variation within individual COVID-19 samples using Illumina Paired End data. More info can be found at https://covid19.galaxyproject.org/genomics/

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/

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/

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/

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, ...