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
Galaxy is an open, web-based platform for accessible, reproducible, and transparent computational biological research.
- Accessible: Users can easily run tools without writing code or using the CLI; all via a user-friendly web interface.
- Reproducible: Galaxy captures all the metadata from an analysis, making it completely reproducible.
- Transparent: Users share and publish analyses via interactive pages that can enhance analyses with user annotations.
- Scalable: Galaxy can run ...
Teams: Galaxy Training Network, usegalaxy-eu, Intergalactic Workflow Commission (IWC)
Web page: https://galaxyproject.org/
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
The Intergalactic Workflow Commission releases vetted analysis pipelines for the Galaxy platform.
You can contribute too!
Space: Galaxy
Public web page: https://iwc.galaxyproject.org/
Organisms: Not specified
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
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
Type: Nextflow
Creators: James A. Fellows Yates, Sofia Stamouli, Moritz E. Beber, Lauri Mesilaakso, Thomas A. Christensen II, Jianhong Ou, Mahwash Jamy, Maxime Borry, Rafal Stepien, Tanja Normark
Submitter: WorkflowHub Bot
This workflow performs the scaffolding of a genome assembly using HiC data with YAHS. Can be used on any assembly with Hi-C data, and the assembly in the gfa format. You can generate a gfa from a fasta using the gfastat tool. Part of the VGP set of workflows, it is meant to be run after the contigging (workflows 3,4, or 5), optional purging step (Workflow 6 or 6b), and an optionnal scaffolding with Bionano data (Workflow 7). This workflow includes QC with Assembly statistics, Busco, and Hi-C maps. ...
Generate mitochondrial assembly based on PacBio HiFi reads. Part of the VGP suite, it can be run at any time independently of the other workflows. This workflow uses MitoHiFi and a mitochondrial reference to assemble the mitochondrial genome from PacBio reads. You do not need to provide the reference yourself, only the Latin name of the species.
Decontamination (foreign contaminants and mitochondrial sequences) of a genome assembly after the final scaffolding step. Uses Kraken2 to identify foreign contaminants and Blast to identify mitochondrial sequences. Part of the VGP Suite.
Generate a genome assembly based on PacBio HiFi reads. Part of the VGP suite, it needs to be run after the VGP1 k-mer profiling workflow. The assembly contigs are built using HiFiasm, and the workflow generates assembly statistics, BUSCO reports, Merqury plots, and the contigs in fasta and GFA formats.
Evaluation of Pacbio Hifi Reads and genome profiling. Create Meryl Database used for the estimation of assembly parameters and quality control with Merqury. Part of the VGP pipeline.
Purge contigs marked as duplicates by purge_dups in a single haplotype (could be haplotypic duplication or overlap duplication). If you think the purged contigs might belong to the other haplotype, use the workflow VGP6 instead. 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).
Purge contigs marked as duplicates by purge_dups (could be haplotypic duplication or overlap duplication). The contigs are purged from the first assembly (hap1, pri...), added to the second assembly (hp2, alt... ), then the 2nd assembly is purged as well. If you think only one of the assemblies needs purging, use the VGP6b workflow. 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).
This workflow performs quality and contamination control analysis on assembled contigs to assess bacterial genome quality and taxonomic assignment
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 directly from raw reads
Type: Galaxy
Creators: ABRomics , Pierre Marin, Clea Siguret, abromics-consortium
Submitter: WorkflowHub Bot
This workflow processes the CMO fastqs with CITE-seq-Count and include the translation step required for cellPlex processing. In parallel it processes the Gene Expresion fastqs with STARsolo, filter cells with DropletUtils and reformat all outputs to be easily used by the function 'Read10X' from Seurat.
Type: Galaxy
Creators: Lucille Delisle, Mehmet Tekman, Hans-Rudolf Hotz, Daniel Blankenberg, Wendi Bacon
Submitter: WorkflowHub Bot
Complete ChIP-seq analysis for single-end sequencing data. Processes raw FASTQ files through adapter removal (cutadapt), alignment to reference genome (Bowtie2), and quality filtering (MAPQ >= 30). Peak calling with MACS2 uses either a fixed extension parameter or built-in model to identify protein-DNA binding sites. Generates alignment files, peak calls, and quality metrics for downstream analysis.
Complete ChIP-seq analysis for paired-end sequencing data. Processes raw FASTQ files through adapter removal (cutadapt), alignment to reference genome (Bowtie2), and stringent quality filtering (MAPQ >= 30, concordant pairs only). Peak calling with MACS2 optimized for paired-end reads identifies protein-DNA binding sites. Generates alignment files, peak calls, and quality metrics for downstream analysis.