Workflows
What is a Workflow?Filters
Honey bees (Apis mellifera) are essential pollinators supporting agricultural production and wild plant diversity. In evolutionary lineage M, some populations are threatened by genetic erosion caused by the widespread introduction of commercially bred queens. To assess this risk, wing images from existing and new datasets were used to assign them to four evolutionary lineages (A, C, M, and O). The new dataset consisted of 29,043 wing images representing 1,342 colony samples from ten countries. ...
This workflow computes read coverage of BAM/CRAM samples over a merged set of peak regions to generate a pairwise correlation plot, along with the corresponding raw read counts and coverage matrix.
Type: Galaxy
Creators: Lucille Delisle, Alexandre Mayran, Olusegun E. Adebayo
Submitter: WorkflowHub Bot
CLIP-seq Workflow
A Nextflow workflow for end-to-end processing of CLIP-seq data, supporting multiple CLIP protocols.
Overview
Starting from raw FASTQ files (or un-demultiplexed iCLIP data), the workflow processes reads through quality control, adapter trimming, rRNA removal, genome alignment, and UMI deduplication, then runs shoji to extract crosslink sites and produce per-sample and combined count matrices ready for differential binding analysis (see ...
Genomes Generation Pipeline
MGnify genomes generation pipeline (GGP) produces prokaryotic and eukaryotic MAGs from raw reads and corresponding assemblies.
This pipeline does not support co-binning.
Pipeline summary
The pipeline performs the following tasks:
- Supports short reads.
- Changes read headers to their corresponding assembly accessions (in the ERZ namespace).
- Quality trims the reads, removes adapters fastp.
Afterward, the pipeline:
- Runs a ...
Type: Nextflow
Creators: Ekaterina Sakharova, Martin Beracochea, Varsha Kale
Submitters: Martin Beracochea, Ekaterina Sakharova
Detailed description of your COMPSs application
Workflow for quality assessment and taxonomic classification of amplicon long read sequences. In addition files are exported to their respective subfolders for easier data management in a later stage.
Inputs are expected to be basecalled fastq files
Steps:
- NanoPlot read quality control, before and after filtering
- fastplong read quality and length filtering
- Emu abundance; species-level taxonomic abundance for full-length 16S read
Workflow for long read quality control, contamination filtering, assembly, variant calling and annotation.
- Preprocessing of reference file
- LongReadSum before and after filtering (read quality control)
- Filtlong filter on quality and length
- Flye assembly
- Minimap2 mapping of reads and assembly
- Clair3 variant calling of reads
- Freebayes variant calling of assembly
- Optional Bakta annotation of genomes with no reference
- SnpEff building or downloading of a database
- SnpEff functional ...
Tests