Workflows
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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
Current version of this workflow: https://workflowhub.eu/workflows/1109. Please use only with the new version. KNIME workflow to gather ChEMBL permeability data is availbale: https://workflowhub.eu/workflows/1169.
The workflow takes a trimmed HiFi reads collection, Pri/Alt contigs, and the values for transition parameter and max coverage depth (calculated from WF1) to run Purge_Dups. It produces purged Pri and Alt contigs assemblies, and runs all the QC analysis (gfastats, BUSCO, and Merqury).
The workflow takes a trimmed HiFi reads collection, and max coverage depth (calculated from WF1) to run Hifiasm in HiFi solo mode. It produces a Pri/Alt assembly, and runs all the QC analysis (gfastats, BUSCO, and Merqury).
KNIME workflow describing the analysis of mass spectrometry dataset related to the publication "Proximity interactomics identifies RAI14, EPHA2 and PHACTR4 as essential components of Wnt/planar cell polarity pathway in vertebrates". Workflow was built using the KNIME software container environment, version 4.7.7a, which can be created using "docker pull cfprot/knime:4.7.7a" command in Docker. The input data for the KNIME workflow (the report.tsv from DIA-NN) can be found on PRIDE repository under ...
The workflow takes a trimmed HiFi reads collection, runs Meryl to create a K-mer database, Genomescope2 to estimate genome properties and Smudgeplot to estimate ploidy. The main results are K-mer database and genome profiling plots, tables, and values useful for downstream analysis. Default K-mer length and ploidy for Genomescope are 21 and 2, respectively.
The workflow takes a HiFi reads collection, runs FastQC and SeqKit, filters with Cutadapt, and creates a MultiQC report. The main outputs are a collection of filtred reads, a report with raw and filtered reads stats, and a table with raw reads stats.