Workflows
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Pre-processing of mass spectrometry-based metabolomics data
Tests Importing single-end multiplexed data (not demultiplexed yet)
Type: Galaxy
Creators: Debjyoti Ghosh, Helmholtz-Zentrum für Umweltforschung - UFZ
Submitter: WorkflowHub Bot
Use DADA2 for sequence quality control. DADA2 is a pipeline for detecting and correcting (where possible) Illumina amplicon sequence data. As implemented in the q2-dada2 plugin, this quality control process will additionally filter any phiX reads (commonly present in marker gene Illumina sequence data) that are identified in the sequencing data, and will filter chimeric sequences.
Type: Galaxy
Creators: Debjyoti Ghosh, Helmholtz-Zentrum für Umweltforschung - UFZ
Submitter: WorkflowHub Bot
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 ...
dada2 amplicon analysis for paired end data
The workflow has three main outputs:
- the sequence table (output of makeSequenceTable)
- the taxonomy (output of assignTaxonomy)
- the counts which allow to track the number of sequences in the samples through the steps (output of sequence counts)
This workflow performs segmentation and counting of cell nuclei using fluorescence microscopy images. The segmentation step is performed using Otsu thresholding (Otsu, 1979). The workflow is based on the tutorial: https://training.galaxyproject.org/training-material/topics/imaging/tutorials/imaging-introduction/tutorial.html
Assemble long reads with Flye, then view assembly statistics and assembly graph
Run velocyto to get loom with counts of spliced and unspliced. It will extract the 'barcodes' from the bundled outputs.
This workflow processes the CMO fastqs with CITE-seq-Count and include the translation step required for cellPlex processing. In parallel it processes the Gene Expresion fastqs with STARsolo, filter cells with DropletUtils and reformat all outputs to be easily used by the function 'Read10X' from Seurat.
Type: Galaxy
Creators: Lucille Delisle, Mehmet Tekman, Hans-Rudolf Hotz, Daniel Blankenberg, Wendi Bacon
Submitter: WorkflowHub Bot
