Workflows

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747 Workflows visible to you, out of a total of 808
kmer-profiling-hifi-VGP1/main

VGP Workflow #1

This workflow produces a Meryl database and Genomescope outputs that will be used to determine parameters for following workflows, and assess the quality of genome assemblies. Specifically, it provides information about the genomic complexity, such as the genome size and levels of heterozygosity and repeat content, as well about the data quality.

Inputs

  • A collection of Hifi long reads in FASTQ format
  • k-mer length
  • Ploidy

Outputs

  • Meryl Database of kmer counts

...

Type: Galaxy

Creator: VGP, Galaxy

Submitter: WorkflowHub Bot

kmer-profiling-hifi-trio-VGP2/main

Create Meryl Database used for the estimation of assembly parameters and quality control with Merqury. Part of the VGP pipeline.

Type: Galaxy

Creator: VGP, Galaxy

Submitter: WorkflowHub Bot

nf-core/phaseimpute

Phasing and imputation pipeline

Type: Nextflow

Creators: Louis Le Nezet, Anabella Trigila

Submitter: WorkflowHub Bot

clinicalmp-discovery/main

Workflow for clinical metaproteomics database searching

Type: Galaxy

Creator: Subina Mehta

Submitter: WorkflowHub Bot

Taxonomy classification using Kraken2 and Bracken
Work-in-progress

The aim of this workflow is to handle the routine part of shotgun metagenomics data processing. The workflow is using the tools Kraken2 and Bracken for taxonomy classification and the KrakenTools to evaluate diversity metrics. This workflow was tested on Galaxy Australia. A How-to guide for the workflow can be found at: https://github.com/vmurigneu/kraken_howto_ga_workflows/blob/main/pages/taxonomy_kraken2_wf_guide.md

Type: Galaxy

Creators: Valentine Murigneux, Mike Thang

Submitter: Valentine Murigneux

DOI: 10.48546/workflowhub.workflow.1199.2

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

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