Workflows

What is a Workflow?
1244 Workflows visible to you, out of a total of 1325
Meta-analysis of permeability literature data shows possibilities and limitations of popular methods
Work-in-progress

Article abstract

Permeability is an important molecular property in drug discovery, as it co-determines pharmacokinetics whenever a drug crosses the phospholipid bilayer, e.g., into the cell, in the gastrointestinal tract or across the blood-brain barrier. Many methods for the determination of permeability have been developed, including cell line assays, cell-free model systems like PAMPA mimicking, e.g., gastrointestinal epithelia or the skin, as well as the Black lipid membrane (BLM) and ...

Type: KNIME

Creator: Kateřina Storchmannová

Submitter: Kateřina Storchmannová

ERGA-BGE Genome Report ASM analyses (one-asm WGS Illumina PE + HiC)
Stable

Assembly Evaluation for ERGA-BGE Reports

One Assembly, Illumina WGS reads + HiC reads

The workflow requires the following:

  • Species Taxonomy ID number
  • NCBI Genome assembly accession code
  • BUSCO Lineage
  • WGS accurate reads accession code
  • NCBI HiC reads accession code

The workflow will get the data and process it to generate genome profiling (genomescope, smudgeplot -optional-), assembly stats (gfastats), merqury stats (QV, completeness), BUSCO, snailplot, contamination blobplot, and ...

Type: Galaxy

Creators: Diego De Panis, ERGA

Submitter: Diego De Panis

DOI: 10.48546/workflowhub.workflow.1103.2

ERGA-BGE Genome Report ASM analyses (one-asm HiFi + HiC)
Stable

Assembly Evaluation for ERGA-BGE Reports

One Assembly, HiFi WGS reads + HiC reads

The workflow requires the following:

  • Species Taxonomy ID number
  • NCBI Genome assembly accession code
  • BUSCO Lineage
  • WGS accurate reads accession code
  • NCBI HiC reads accession code

The workflow will get the data and process it to generate genome profiling (genomescope, smudgeplot -optional-), assembly stats (gfastats), merqury stats (QV, completeness), BUSCO, snailplot, contamination blobplot, and HiC ...

Type: Galaxy

Creators: Diego De Panis, ERGA

Submitter: Diego De Panis

DOI: 10.48546/workflowhub.workflow.1104.1

Sample Python Crypt4GH workflow
No description specified

Type: Python

Creators: None

Submitter: Alberto Aguado

M6Allele

M6Allele Pipeline & M6Allele algorithm

Introduction

We have developed an algorithm called M6Allele for identifying allele-specific m6A modifications. To facilitate its usage by researchers, we have also encapsulated our analysis process into a pipeline. You can learn more about the pipeline and the algorithm's usage from the following two modules:

M6Allele Pipeline

PARAMETER INTRODUCTION

  • -g/--gtf : ...

Type: Docker

Creators: Yin Zhang, Lin Tang

Submitter: YIN ZHANG

DOI: 10.48546/workflowhub.workflow.1223.1

deepvariant-nextflow
Stable

Nextflow Pipeline for DeepVariant

This repository contains a Nextflow pipeline for Google’s DeepVariant, optimised for execution on NCI Gadi.

Quickstart Guide

  1. Edit the pipeline_params.yml file to include:
  • samples: a list of samples, where each sample includes the sample name, BAM file path (ensure corresponding .bai is in the same directory), path to an optional regions-of-interest BED file (set to '' if not required), and the model type.
  • ref: path to the reference FASTA (ensure ...

Type: Nextflow

Creators: Kisaru Liyanage, Matthew Downton

Submitter: Kisaru Liyanage

Genome-assessment-post-assembly
Stable

Post-genome assembly quality control workflow using Quast, BUSCO, Meryl, Merqury and Fasta Statistics, with updates November 2024.

Workflow inputs: reads as fastqsanger.gz (not fastq.gz), and primary assembly.fasta. (To change reads format: click on the pencil icon next to the file in the Galaxy history, then "Datatypes", then set "New type" as fastqsanger.gz). Note: the reads should be those that were used for the assembly (i.e., the filtered/cleaned reads), not the raw reads.

What it does: ...

Type: Galaxy

Creators: Kate Farquharson, Gareth Price, Simon Tang, Anna Syme

Submitters: Johan Gustafsson, Anna Syme

DOI: 10.48546/workflowhub.workflow.403.7

MGnify genomes catalogue pipeline
Stable

MGnify genomes catalogue pipeline

MGnify A pipeline to perform taxonomic and functional annotation and to generate a catalogue from a set of isolate and/or metagenome-assembled genomes (MAGs) using the workflow described in the following publication:

Gurbich TA, Almeida A, Beracochea M, Burdett T, Burgin J, Cochrane G, Raj S, Richardson L, Rogers AB, Sakharova E, Salazar GA and Finn RD. (2023) [MGnify Genomes: A Resource for Biome-specific Microbial Genome ...

Type: Nextflow

Creators: Ekaterina Sakharova, Tatiana Gurbich, Martin Beracochea

Submitter: Martin Beracochea

EnrichDO: a Global Weighted Model for Disease Ontology Enrichment Analysis

EnrichDO

EnrichDO is a double weighted iterative model by integrating the DO graph topology on a global scale. It was based on the latest annotations of the human genome with DO terms, and double weighted the annotated protein-coding genes. On one hand, to reinforce the saliency of direct gene-DO annotations, different initial weights were assigned to directly annotated genes and indirectly annotated genes, respectively. On the other hand, to detect locally most significant node between ...

Type: R markdown

Creator: Liang Cheng

Submitter: Liang Cheng

DOI: 10.48546/workflowhub.workflow.1221.1

clinicalmp-data-interpretation/main

This workflow will perform taxonomic and functional annotations using Unipept and statistical analysis using MSstatsTMT.

Type: Galaxy

Creator: GalaxyP

Submitter: WorkflowHub Bot

Powered by
 (v.1.17.0-main)
About WorkflowHub | Acknowledgements | Credits | Terms & Conditions | Privacy Policy | Cite us | Contact us
Copyright © 2008 - 2025 The University of Manchester and HITS gGmbH