Workflows

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605 Workflows visible to you, out of a total of 722
Bindflow
Work-in-progress

Australian-Structural-Biology-Computing/bindflow

GitHub Actions CI Status GitHub Actions Linting Status[![Cite ...

Type: Nextflow

Creators: None

Submitter: Thomas Litfin

PacBio HiFi genome assembly using hifiasm v2.1
Stable

Assembly, visualisation and quality control workflow for high fidelity reads built from circular consensus sequence (PacBio HiFi) data.

Type: Galaxy

Creators: Gareth Price, Katherine Farquharson

Submitter: Johan Gustafsson

Prostate cancer classification workflow
Stable

Prostate cancer classification workflow

This workflow segments tissue regions and classifies prostate cancer on H&E whole slide images, using AI. It consists of three steps:

  1. low-resolution tissue segmentation to select areas for further processing;

  2. high-resolution tissue segmentation to refine borders - it uses step 1 as input;

  3. high-resolution normal/cancer classification - it uses step 1 as input.

Type: Common Workflow Language

Creator: Mauro Del Rio

Submitter: Simone Leo

Tissue segmentation workflow
Stable

Tissue segmentation workflow

This workflow performs tissue segmentation on H&E whole slide images using AI.

Type: Common Workflow Language

Creator: Mauro Del Rio

Submitter: Simone Leo

# Demo de-novo assembly workflow

This workflow assembles short reads by running the obsolete Velvet assembler. It performs the same assembly on every sample with different k-mer length settings, and reports the longest contig in each case.

Type: Snakemake

Creators: None

Submitter: Chloe Hui

Demo assembly workflow

Demo de-novo assembly workflow

This workflow assembles short reads by running the obsolete Velvet assembler. It performs the same assembly on every sample with different k-mer length settings, and reports the longest contig in each case.

Type: Snakemake

Creators: Timothy Booth, BioFAIR

Submitter: Tim Booth

CUT&RUN GTN

CUT&RUN data analysis workflow. It uses fastQC, trim adapters with Trim Galore!, map with Bowtie2, filter the BAM and mark duplicates. Peaks are called with MACS2 and peaks from both replicates are intersected and then intersected to the ChIP peaks. Finally MEME ChIP is run to get the motifs.

Associated Tutorial

This workflows is part of the tutorial CUT&RUN data analysis, ...

Type: Galaxy

Creators: None

Submitter: Helena Rasche

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