Workflows
What is a Workflow?Filters
Type: Nextflow
Creators: Gisela Gabernet, Simon Heumos, Alexander Peltzer
Submitter: WorkflowHub Bot
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.
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).
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).
Generate phased assembly based on PacBio HiFi reads and parental Illumina data for phasing. Part of the VGP workflow suite, it needs to be run after the Trio k-mer Profiling workflow VGP2. This workflow uses HiFiasm for contigging, and generates assembly statistics, BUSCO reports, Merqury plots, and the genome assembly contigs in fasta and GFA format.
Introduction
samba workflow for the specific needs in metabarcoding analyses of norovirus. It is a FAIR scalable workflow integrating, into a unique tool, state-of-the-art bioinformatics and statistical methods to conduct reproducible metabarcoding and eDNA analyses using Nextflow (Di Tommaso et al., 2017). SAMBA performs complete metabarcoding analysis by:
samba-norovirus is an adaptation of the...
Type: Nextflow
Creators: Cyril Noel, Antoine Veron, Françoise Vincent-Hubert, Julien Schaeffer, Marion Desdouits, Soizick Le Guyader
Submitter: Cyril Noel
SynProtX
An official implementation of our research paper "SynProtX: A Large-Scale Proteomics-Based Deep Learning Model for Predicting Synergistic Anticancer Drug Combinations".
SynProtX is a deep learning model that integrates large-scale proteomics data, molecular graphs, and chemical fingerprints to predict synergistic effects of anticancer drug combinations. It provides robust ...
Type: Python
Creators: Bundit Boonyarit, Matin Kositchutima, Tisorn Na Phattalung, Nattawin Yamprasert, Chanitra Thuwajit, Thanyada Rungrotmongkol, Sarana Nutanong
Submitter: Bundit Boonyarit
SAMBA is a FAIR scalable workflow integrating, into a unique tool, state-of-the-art bioinformatics and statistical methods to conduct reproducible eDNA analyses using Nextflow. SAMBA starts processing by verifying integrity of raw reads and metadata. Then all bioinformatics processing is done using commonly used procedure (QIIME 2 and DADA2) but adds new steps relying on dbOTU3 and microDecon to build high quality ASV count tables. Extended statistical analyses are also performed. Finally, SAMBA ...
Type: Nextflow
Creators: Cyril Noel, Alexandre Cormier, Laura Leroi, Patrick Durand, Laure Quintric
Submitter: Cyril Noel
Introduction
wombat-p pipelines is a bioinformatics analysis pipeline that bundles different workflow for the analysis of label-free proteomics data with the purpose of comparison and benchmarking. It allows using files from the proteomics metadata standard SDRF.
The pipeline is built using Nextflow, a workflow tool to run tasks across multiple compute infrastructures in a very portable manner. It uses ...
Type: Nextflow
Creators: Veit Schwämmle, Magnus Palmblad
Submitters: Laura Rodriguez-Navas, José Mª Fernández