An open infrastructure for exploring new horizons for research on microbial communities.
A space managed by WorkflowHub administrators for teams that don't want/need to manage their own space.
Teams: IBISBA Workflows, NMR Workflow, UNLOCK, NanoGalaxy, Galaxy Climate, PNDB, IMBforge, COVID-19 PubSeq: Public SARS-CoV-2 Sequence Resource, LBI-RUD, Nick-test-team, usegalaxy-eu, Italy-Covid-data-Portal, UX trial team, Integrated and Urban Plant Pathology Laboratory, SARS-CoV-2 Data Hubs, lmjxteam2, virAnnot pipeline, Ay Lab, iPC: individualizedPaediatricCure, Harkany Lab, Genomics Coordination Center, EJPRD WP13 case-studies workflows, Common Workflow Language (CWL) community, Testing, SeBiMER, IAA-CSIC, MAB - ATGC, Probabilistic graphical models, GenX, Snakemake-Workflows, ODA, IPK BIT, CO2MICS Lab, FAME, CHU Limoges - UF9481 Bioinformatique / CNR Herpesvirus, Quadram Institute Bioscience - Bioinformatics, HecatombDevelopment, Institute of Human Genetics, Testing RO Crates, Test Team, Applied Computational Biology at IEG/HMGU, INFRAFRONTIER workflows
Web page: Not specified
Workflow for quality assessment of paired reads and classification using NGTax 2.0 and functional annotation using picrust2. In addition files are exported to their respective subfolders for easier data management in a later stage. Steps: - FastQC (read quality control) - NGTax 2.0 - Picrust 2 - Export module for ngtax
Workflow for Spliced RNAseq data Steps:
- FastQC (Read Quality Control)
- fastp (Read Trimming)
- STAR (Read mapping)
- featurecounts (transcript read counts)
- kallisto (transcript [pseudo]counts)
Workflow for NonSpliced RNAseq data with multiple aligners.
Steps: - workflowquality.cwl: - FastQC (control) - fastp (trimming) - bowtie2 (read mapping) - samto_sorted-bam - featurecounts (transcript read counts) - kallisto (transcript [pseudo]counts)
Amplicon analysis workflow using NG-Tax
- Quality control on the reads
- Execute NGTax for ASV detection and classification
For more information about NG-Tax 2.0 have a look at https://doi.org/10.3389/fgene.2019.01366
Workflow for (paired) read quality control, trimming and contamination filtering based on a given reference.
Will output a merged set of read pairs, when multiple datasets are used.
FastQC (read quality control)
fastp (read quality trimming)
bbduk used (rrna filtering)
bbmap (contamination filter)