Expertise: High Performance Computing, Scientific workflow developement, Software Engineering, astronomy
Tools: Galaxy, Jupyter notebook, Python, Workflows, Git
Teams: IBISBA Workflows, EOSC-Life WP3, NGFF Tools, Euro-BioImaging, AI4Life OC
Organizations: Unspecified, EMBL-EBI, Euro-BioImaging
https://orcid.org/0000-0002-5862-6132Expertise: image analysis
Teams: Galaxy Training Network
Organizations: Erasmus University Medical Centre
https://orcid.org/0000-0003-3803-468XExpertise: Genomics, amplicon analysis, Microbiology
Tools: Galaxy
Post-doc at ErasmusMC, Galaxy Training Network (GTN) Lead
Expertise: Bioinformatics, Computer Science, Data Management, Genetics, Genomics, Machine Learning, Metagenomics, NGS, Scientific workflow developement, Software Engineering
Tools: Databases, Galaxy, Genomics, Jupyter notebook, Machine Learning, Nextflow, nf-core, PCR, Perl, Python, R, rtPCR, Snakemake, Transcriptomics, Virology, Web, Web services, Workflows
Dad, husband and PhD. Scientist, technologist and engineer. Bibliophile. Philomath. Passionate about science, medicine, research, computing and all things geeky!
Teams: Bioinformatics Innovation Lab
Organizations: Pondicherry University
https://orcid.org/0000-0003-4854-8238Expertise: Bioinformatics, Systems Biology, Machine Learning
Tools: Galaxy, Cytoscape, Databases, Jupyter notebook, R, Python
Ph.D. Student at Department of Bioinformatics, Pondicherry University
Teams: GalaxyProject SARS-CoV-2
Organizations: Earlham Institute
https://orcid.org/0000-0003-3627-5340Expertise: Bioinformatics
Tools: Galaxy
Research Director @ INRAe
Collection of de-novo genome assembly workflows written for implementation in Galaxy
Input data should be Oxford Nanopore raw reads plus Illumina WGS reads and Illumina 3-dimensional Chromatin Confirmation Capture (HiC) reads
Executing all workflows will output one scaffolded collapsed assembly and the complete QC analyses
Please run the workflows in order: WF0 (there are two, one for ONT, and another one for Illumina that can be used independently for the WGS and HiC reads), WF1, WF2, WF3, WF4
Maintainers: Diego De Panis
Number of items: 6
Tags: Assembly, Bioinformatics, Galaxy, Genomics, Genome assembly, ONT, illumina, Hi-C
Collection of de-novo genome assembly workflows written for implementation in Galaxy
Input data should be Oxford Nanopore raw reads plus Illumina WGS reads and Illumina 3-dimensional Chromatin Confirmation Capture (HiC) reads
Executing all workflows will output one scaffolded collapsed assembly and the complete QC analyses
Please run the workflows in order: WF0 (there are two, one for ONT, and another one for Illumina that can be used independently for the WGS and HiC reads), WF1, WF2, WF3, WF4
Maintainers: Diego De Panis
Number of items: 6
Tags: Assembly, Bioinformatics, Galaxy, Genomics, Genome assembly, ONT, illumina, Hi-C
Collection of de-novo genome assembly workflows written for implementation in Galaxy
Input data should be PacBio HiFi reads and Illumina 3-dimensional Chromatin Confirmation Capture (HiC) reads
Executing all workflows will output two scaffolded haplotype assemblies and the complete QC analyses
Please run the workflows in order: WF0 (there are two, one for HiFi and one for Illumina HiC), WF1, WF2, WF3, WF4
Maintainers: Tom Brown, Diego De Panis
Number of items: 6
Tags: Assembly, Bioinformatics, Galaxy, Genomics, Genome assembly, HiFi, Hi-C
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, ...
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).
SINGLE-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 mot ADAPTED VADR MODEL for annotation (see vadr parameters).
Workflow for tracking objects in Cell Profiler: https://training.galaxyproject.org/training-material/topics/imaging/tutorials/object-tracking-using-cell-profiler/tutorial.html
Performs Long Read assembly using PacBio data and Hifiasm. Part of VGP assembly pipeline. This workflow generate a phased assembly.
Performs scaffolding using HiC Data. Part of VGP assembly pipeline. The scaffolding can be performed on long read assembly contigs or on scaffolds (e.g.: Bionano scaffolds).
Performs scaffolding using Bionano Data. Part of VGP assembly pipeline.
Purge Phased assembly of duplications and overlaps. Include purge steps for Primary and Alternate assemblies.
Performs Long Read assembly using PacBio data and Hifiasm. Part of VGP assembly pipeline. This workflow generate a phased assembly.
Create Meryl Database used for the estimation of assembly parameters and quality control with Merqury. Part of the VGP pipeline.
Workflow to take DataOne data packages (raw datasets + metadata written in Ecological Metadata Standard) as input and create a DwC occurence.csv file almost ready to put in a Dawrin core Archive using eml-annotations at the attribute level
This workflow has been created as part of Demonstrator 6 of the project EOSC-Life (within WP3) and is focused on reusing publicly available RNAi screens to gain insights into the nucleolus biology. The workflow downloads images from the Image Data Resource (IDR), performs object segmentation (of nuclei and nucleoli) and feature extraction of the images and objects identified.
Abstract CWL Automatically generated from the Galaxy workflow file: Workflow with Copernicus Essential Climate Variable - select and plot
Alignment, assembly and annotation of RNQSEQ reads using TOPHAT (without filtering out host reads).
Detects SNPs and INDELs using VARSCAN2.