Workflows

What is a Workflow?
1340 Workflows visible to you, out of a total of 1433
Stable

The workflow takes a trimmed HiFi reads collection, Forward/Reverse HiC reads, and the max coverage depth (calculated from WF1) to run Hifiasm in HiC phasing mode. It produces both Pri/Alt and Hap1/Hap2 assemblies, and runs all the QC analysis (gfastats, BUSCO, and Merqury). The default Hifiasm purge level is Light (l1).

Type: Galaxy

Creators: Diego De Panis, ERGA

Submitter: Diego De Panis

DOI: 10.48546/workflowhub.workflow.605.1

Work-in-progress

The ultimate-level complexity workflow is one among a collection of workflows designed to address tasks up to CTF estimation. In addition to the functionalities provided by layer 0 and 1 workflows, this workflow aims to enhance the quality of both acquisition images and processing.

Quality control protocols

Combination of methods

  • CTF consensus
  • New methods to compare ctf estimations
  • CTF xmipp criteria (richer parameters i.e. ice detection)

Advantages

  • Control of ...

Type: Scipion

Creators: None

Submitter: Daniel Marchan

We assume the identifiers of the input list are like: sample_name_replicateID. The identifiers of the output list will be: sample_name

Type: Galaxy

Creator: Lucille Delisle

Submitter: WorkflowHub Bot

This repository contains the python code to reproduce the experiments in Dłotko, Gurnari "Euler Characteristic Curves and Profiles: a stable shape invariant for big data problems"

Type: Python

Creator: Davide Gurnari

Submitter: Davide Gurnari

DOI: 10.48546/workflowhub.workflow.576.1

This workflow represents the Default ML Pipeline for AutoML feature from MLme. Machine Learning Made Easy (MLme) is a novel tool that simplifies machine learning (ML) for researchers. By integrating four essential functionalities, namely data exploration, AutoML, CustomML, and visualization, MLme fulfills the diverse requirements of researchers while eliminating the need for extensive coding efforts. MLme serves as a valuable resource that empowers researchers of all technical levels to leverage ...

Type: Workflow Description Language

Creator: Akshay Akshay

Submitter: Akshay Akshay

DOI: 10.48546/workflowhub.workflow.571.1

ERGA Protein-coding gene annotation workflow.

Adapted from the work of Sagane Joye:

https://github.com/sdind/genome_annotation_workflow

Prerequisites

The following programs are required to run the workflow and the listed version were tested. It should be noted that older versions of snakemake are not compatible with newer versions of singularity as is noted here: https://github.com/nextflow-io/nextflow/issues/1659.

conda v 23.7.3 ...

Type: Snakemake

Creator: Sagane Joye-Dind

Submitter: Tom Brown

DOI: 10.48546/workflowhub.workflow.569.1

Racon polish with long reads, x4

Type: Galaxy

Creator: Anna Syme

Submitter: WorkflowHub Bot

Downloads fastq files for sequencing run accessions provided in a text file using fasterq-dump. Creates one job per listed run accession.

Type: Galaxy

Creators: Marius van den Beek, IWC

Submitter: WorkflowHub Bot

This workflow takes as input SR BAM from ChIP-seq. It calls peaks on each replicate and intersect them. In parallel, each BAM is subsetted to smallest number of reads. Peaks are called using both subsets combined. Only peaks called using a combination of both subsets which have summits intersecting the intersection of both replicates will be kept.

Type: Galaxy

Creator: Lucille Delisle

Submitter: WorkflowHub Bot

Stable

HiFi de novo genome assembly workflow

HiFi-assembly-workflow is a bioinformatics pipeline that can be used to analyse Pacbio CCS reads for de novo genome assembly using PacBio Circular Consensus Sequencing (CCS) reads. This workflow is implemented in Nextflow and has 3 major sections.

Please refer to the following documentation for detailed description of each workflow section:

  • [Adapter filtration and pre-assembly quality control ...

Type: Nextflow

Creators: Naga Kasinadhuni, Ziad Al-Bkhetan, Martha Zakrzewski, Kenneth Chan, Uwe Winter, Johan Gustafsson

Submitter: Johan Gustafsson

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