SEEK ID: https://workflowhub.eu/people/112
Location: Not specified
ORCID: Not specified
Joined: 12th Mar 2021
Expertise: Not specified
Tools: Not specified
Related items
Biodiversity Genomics Europe, funded by Horizon Europe call HORIZON-CL6-2021-BIODIV-01-01, aims at aligning the resources and research agendas of both DNA barcoding and reference genome generation, thus opening the door for a true quantum leap in biodiversity genomics research in Europe.
Despite ground-breaking developments in both DNA barcoding and full genome sequencing, there remains a critical need to develop and strengthen functioning communities of practice ...
Teams: Vertebrate Genomes Pipelines in Galaxy, Biodiversity Genomics Europe (general)
Web page: https://biodiversitygenomics.eu/
A community effort to collect a curated set of analysis pipelines built using Nextflow.
Teams: nf-core
Web page: https://nf-co.re
A community effort to collect a curated set of analysis pipelines built using Nextflow.
Space: nf-core
Public web page: https://nf-co.re
Organisms: Not specified
IWC - Intergalactic Workflow Commission
Space: This Team is not associated with a Space
Public web page: https://github.com/galaxyproject/iwc
Organisms: Not specified
The Vertebrate Genomes Pipelines in Galaxy are intended to allow a user to generate high-quality near error-free assemblies of species from a user's own data or from the GenomeArk database
Space: Biodiversity Genomics Europe (BGE)
Public web page: https://galaxyproject.org/projects/vgp/workflows/
Organisms: Not specified
This workflow will perform taxonomic and functional annotations using Unipept and statistical analysis using MSstatsTMT.
In proteomics research, verifying detected peptides is essential for ensuring data accuracy and biological relevance. This tutorial continues from the clinical metaproteomics discovery workflow, focusing on verifying identified microbial peptides using the PepQuery tool.
From metagenomes to peptides
Type: Nextflow
Creators: Sabrina Krakau, Leon Kuchenbecker and Till Englert
Submitter: WorkflowHub Bot
The workflow begins with the Database Generation process. The Galaxy-P team has developed a workflow that collects protein sequences from known disease-causing microorganisms to build a comprehensive database. This extensive database is then refined into a smaller, more relevant dataset using the Metanovo tool.
This workflow uses the decoupler tool in Galaxy to generate pseudobulk counts from an annotated AnnData file obtained from scRNA-seq analysis. Following the pseudobulk step, differential expression genes (DEG) are calculated using the edgeR tool. The workflow also includes data sanitation steps to ensure smooth operation of edgeR and minimizing potential issues. Additionally, a Volcano plot tool is used to visualize the results after the DEG analysis.
Type: Galaxy
Creators: Diana Chiang Jurado, Pavankumar Videm, Pablo Moreno
Submitter: WorkflowHub Bot
This workflow can only work on an experimental setup with exactly 2 conditions. It takes two collections of count tables as input and performs differential expression analysis. Additionally it filters for DE genes based on adjusted p-value and log2 fold changes thresholds. It also generates informative plots.
This workflow is used for GO and KEGG enrichment analysis using GOseq tools.
Workflow for variant analysis against a reference genome in GenBank format
Single-cell/nuclei pipeline for data derived from Oxford Nanopore
Pipeline to run and benchmark multiple sequence alignment tools.
Find and annotate variants in ampliconic SARS-CoV-2 Illumina sequencing data and classify samples with pangolin and nextclade
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.
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 ...
Assembly of bacterial paired-end short read data with generation of quality metrics and reports
Type: Galaxy
Creators: Abromics , Pierre Marin, Clea Siguret, abromics-consortium
Submitter: WorkflowHub Bot
Short paired-end read analysis to provide quality analysis, read cleaning and taxonomy assignation
Type: Galaxy
Creators: ABRomics , Pierre Marin, Clea Siguret, abromics-consortium
Submitter: WorkflowHub Bot
Pairwise alignment pipeline (genome to genome or reads to genome)
Purge contigs marked as duplicates by purge_dups (could be haplotypic duplication or overlap duplication). This workflow is the 6th workflow of the VGP pipeline. It is meant to be run after one of the contigging steps (Workflow 3, 4, or 5)