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 ...

Analyse Bulk RNA-Seq data in preparation for downstream Pathways analysis with MINERVA

This portion of the workflow produces sets of feature Counts ready for analysis by limma/etc.

Analyse Bulk RNA-Seq data in preparation for downstream Pathways analysis with MINERVA

Assembly and intrahost/low-frequency variant calling for viral samples

This is a Galaxy workflow for performing molecular dynamics simulations and analysis with coronavirus helicases in the Apo or unbound state. The associated input files can be found at: https://zenodo.org/records/7492987. The associated output files can be found at: https://zenodo.org/records/7851000.

This is a Galaxy workflow for performing molecular dynamics simulations and analysis with coronavirus helicases bound to a ligand/drug molecule. The associated input files can be found at: https://zenodo.org/records/7492987. The associated output files can be found at: https://zenodo.org/records/7851000.

PAIRED-END workflow. Align reads on fasta reference/assembly using bwa mem, get a consensus, variants, mutation explanations.

IMPORTANT:

• For "bcftools call" consensus step, the --ploidy file is in "Données partagées" (Shared Data) and must be imported in your history to use the worflow by providing this file (tells bcftools to consider haploid variant calling).
• SELECT THE MOST ADAPTED VADR MODEL for annotation (see vadr parameters).

SARS-CoV-2 variant prediction using Read It And Keep, fastp, bbmap and iVar

This publication corresponds to the Research Objects (RO) of the Baseline Use Case proposed in T.5.2 (WP5) in the BY-COVID project on “COVID-19 Vaccine(s) effectiveness in preventing SARS-CoV-2 infection”.

CoVigator pipeline: variant detection pipeline for Sars-CoV-2

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Summary

This notebook demonstrates how to retrieve metadata associated to the paper A SARS-CoV-2 cytopathicity dataset generated by high-content screening of a large drug repurposing collection and available in IDR at idr0094-ellinger-sarscov2. Over 300 compounds were used in this investigation. This notebook allows the user to calculate the half maximal inhibitory concentration (IC50) for ...

ASPICov was developed to provide a rapid, reliable and complete analysis of NGS SARS-Cov2 samples to the biologist. This broad application tool allows to process samples from either capture or amplicon strategy and Illumina or Ion Torrent technology. To ensure FAIR data analysis, this Nextflow pipeline follows nf-core guidelines and use Singularity containers.

Availability and Implementation: https://gitlab.com/vtilloy/aspicov

Citation: Valentin Tilloy, Pierre Cuzin, Laura Leroi, Emilie Guérin, ...

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 ...

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.

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 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 ...

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 ...

Continuous flexibility analysis of SARS-CoV-2 Spike prefusion structures

This WF is based on the official Covid19-Galaxy assembly workflow as available from https://covid19.galaxyproject.org/genomics/2-assembly/ . It has been adapted to suit the needs of the analysis of metagenomics sequencing data. Prior to be submitted to INDSC databases, these data need to be cleaned from contaminant reads, including reads of possible human origin.

The assembly of the SARS-CoV-2 genome is performed using both the Unicycler and the SPAdes assemblers, similar to the original WV.

To ...

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.

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).

Author: AMBARISH KUMAR er.ambarish@gmail.com; ambari73_sit@jnu.ac.in

This is a proposed standard operating procedure for genomic variant detection using SAMTools.

It is hoped to be effective and useful for getting SARS-CoV-2 genome variants.

It uses Illumina RNASEQ reads and genome sequence.

VIRify

VIRify is a recently developed pipeline for the detection, annotation, and taxonomic classification of viral contigs in metagenomic and metatranscriptomic assemblies. The pipeline is part of the repertoire of analysis services offered by MGnify. VIRify’s taxonomic classification relies on the detection of taxon-specific profile hidden Markov models (HMMs), built upon a set of 22,014 orthologous protein domains and referred to as ViPhOGs. VIRify was implemented in CWL. What do I need? The ...

VIRify

VIRify is a recently developed pipeline for the detection, annotation, and taxonomic classification of viral contigs in metagenomic and metatranscriptomic assemblies. The pipeline is part of the repertoire of analysis services offered by MGnify. VIRify’s taxonomic classification relies on the detection of taxon-specific profile hidden Markov models (HMMs), built upon a set of 22,014 orthologous protein domains and referred to as ViPhOGs. VIRify was implemented in CWL. What do I need? The ...

nf-core/vipr is a bioinformatics best-practice analysis pipeline for assembly and intrahost / low-frequency variant calling for viral samples. The pipeline is built using Nextflow, a workflow tool to run tasks across multiple compute infrastructures in a very portable manner. It comes with docker / singularity containers making installation trivial and results highly reproducible. Pipeline Steps

Step Main program/s

Trimming, combining of read-pairs per sample and QC Skewer, FastQC

Decontamination ...

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. This pipeline is a re-implementation of the SARS_Cov2_consensus-nf and SARS_Cov2_assembly-nf pipelines initially developed by Sarai Varona and Sara Monzon from BU-ISCIII. Porting both of these pipelines to nf-core was an international ...

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/

Virus genome assembly with Unicycler and Spades, The 2 assemblers works in parallel. The graph visualization is made with Bandage. workflow git repository : https://github.com/fjrmoreews/cwl-workflow-SARS-CoV-2/blob/master/Assembly/workflow/assembly-wf-virus.cwl Based on https://github.com/galaxyproject/SARS-CoV-2/blob/master/genomics/2-Assembly/as_wf.png

Preprocessing of raw SARS-CoV-2 reads. 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, ...