Workflows

What is a Workflow?
748 Workflows visible to you, out of a total of 809
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

beacon-omop-worker-workflows

Type: Common Workflow Language

Creators: None

Submitter: Vasiliki Panagi

Stable

GSC (Genotype Sparse Compression)

Genotype Sparse Compression (GSC) is an advanced tool for lossless compression of VCF files, designed to efficiently store and manage VCF files in a compressed format. It accepts VCF/BCF files as input and utilizes advanced compression techniques to significantly reduce storage requirements while ensuring fast query capabilities. In our study, we successfully compressed the VCF files from the 1000 Genomes Project (1000Gpip3), consisting of 2504 samples and 80 ...

Type: Docker

Creator: Xiaolong Luo

Submitter: Xiaolong Luo

DOI: 10.48546/workflowhub.workflow.887.1

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