Workflows

What is a Workflow?
817 Workflows visible to you, out of a total of 891

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

Stable

From the R1 and R2 fastq files of a single samples, make a scRNAseq counts matrix, and perform basic QC with scanpy. Then, do further processing by making a UMAP and clustering. Produces a processed AnnData Depreciated: use individual workflows insead for multiple samples

Type: Galaxy

Creators: Sarah Williams, Mike Thang, Valentine Murigneaux

Submitter: Sarah Williams

Stable

Takes fastqs and reference data, to produce a single cell counts matrix into and save in annData format - adding a column called sample with the sample name.

Type: Galaxy

Creators: Sarah Williams, Mike Thang, Valentine Murigneaux

Submitter: Sarah Williams

Stable

Take a scRNAseq counts matrix from a single sample, and perform basic QC with scanpy. Then, do further processing by making a UMAP and clustering. Produces a processed AnnData object.

Depreciated: use individual workflows insead for multiple samples

Type: Galaxy

Creators: Sarah Williams, Mike Thang, Valentine Murigneaux

Submitter: Sarah Williams

Stable

From the R1 and R2 fastq files of a single samples, make a scRNAseq counts matrix, and perform basic QC with scanpy. Then, do further processing by making a UMAP and clustering. Produces a processed AnnData

Depreciated: use individual workflows insead for multiple samples

Type: Galaxy

Creators: Sarah Williams, Mike Thang, Valentine Murigneaux

Submitter: Sarah Williams

Stable

Basic processing of a QC-filtered Anndata Object. UMAP, clustering e.t.c

Type: Galaxy

Creators: Sarah Williams, Mike Thang, Valentine Murigneaux

Submitter: Sarah Williams

Stable

Take an anndata file, and perform basic QC with scanpy. Produces a filtered AnnData object.

Type: Galaxy

Creators: Sarah Williams, Mike Thang, Valentine Murigneaux

Submitter: Sarah Williams

Stable

Takes fastqs and reference data, to produce a single cell counts matrix into and save in annData format - adding a column called sample with the sample name.

Type: Galaxy

Creators: Sarah Williams, Mike Thang, Valentine Murigneaux

Submitter: Sarah Williams

Stable

Loads a single cell counts matrix into an annData format - adding a column called sample with the sample name. (Input format - matrix.mtx, features.tsv and barcodes.tsv)

Type: Galaxy

Creators: Sarah Williams, Mike Thang, Valentine Murigneaux

Submitter: Sarah Williams

Stable

pod5_by_pore

A Snakemake workflow to take the POD5 files produced by an Oxford Nanopore sequencing run and re-batch them by pore (ie. by channel).

This is useful if you want to run duplex basecalling because you can meaningfully run "dorado duplex" on a single (or a subset of) the POD5 files.

Know issues

It is assumed all POD5 input files are from the same sequencing run, but this is not checked.

Type: Snakemake

Creator: Tim Booth

Submitter: Tim Booth

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