Workflows

What is a Workflow?
595 Workflows visible to you, out of a total of 639

Pangenome databases provide superior host removal and mycobacteria classification from clinical metagenomic data

Hall, M, Coin, L., Pangenome databases provide superior host removal and mycobacteria classification from clinical metagenomic data. bioRxiv 2023. doi: [10.1101/2023.09.18.558339][doi]

Benchmarking different ways of doing read (taxonomic) classification, with a focus on removal of contamination and classification of M. tuberculosis reads.

This repository contains the code and ...

Type: Snakemake

Creator: Michael Hall

Submitter: Michael Hall

DOI: 10.48546/workflowhub.workflow.700.2

Work-in-progress

The workflow takes trimmed HiC forward and reverse reads, and one assembly (e.g.: Hap1 or Pri or Collapsed) to produce a scaffolded assembly using YaHS. It also runs all the QC analyses (gfastats, BUSCO, and Merqury).

Type: Galaxy

Creators: Diego De Panis, ERGA

Submitter: Diego De Panis

Work-in-progress

The workflow takes a trimmed Illumina WGS paired-end reads collection, Collapsed contigs, and the values for transition parameter and max coverage depth (calculated from WF1) to run Purge_Dups. It produces purged Collapsed contigs assemblies, and runs all the QC analysis (gfastats, BUSCO, and Merqury).

Type: Galaxy

Creators: Diego De Panis, ERGA

Submitter: Diego De Panis

Stable

The workflow takes a trimmed Illumina paired-end reads collection, runs Meryl to create a K-mer database, Genomescope2 to estimate genome properties and Smudgeplot to estimate ploidy. The main results are K-mer ddatabase and genome profiling plots, tables, and values useful for downstream analysis. Default K-mer length and ploidy for Genomescope are 21 and 2, respectively.

Type: Galaxy

Creators: Diego De Panis, ERGA

Submitter: Diego De Panis

Stable

The workflow takes ONT reads collection, runs SeqKit and Nanoplot. The main outputs are a table and plots of raw reads stats.

Type: Galaxy

Creators: Diego De Panis, ERGA

Submitter: Diego De Panis

BACPAGE

This repository contains an easy-to-use pipeline for the assembly and analysis of bacterial genomes using ONT long-read or Illumina short-read technology. Read the complete documentation and instructions for bacpage and each of its functions here

Introduction

Advances in sequencing technology during the COVID-19 pandemic has led to massive increases in the generation of sequencing data. Many bioinformatics tools ...

Type: Workflow Description Language

Creators: None

Submitter: Nathaniel Matteson

Stable

The workflow takes a trimmed HiFi reads collection, Hap1/Hap2 contigs, and the values for transition parameter and max coverage depth (calculated from WF1) to run Purge_Dups. It produces purged Hap1 and Hap2 contigs assemblies, and runs all the QC analysis (gfastats, BUSCO, and Merqury).

Type: Galaxy

Creators: Diego De Panis, ERGA

Submitter: Diego De Panis

DOI: 10.48546/workflowhub.workflow.606.2

This workflow processes the CMO fastqs with CITE-seq-Count and include the translation step required for cellPlex processing. In parallel it processes the Gene Expresion fastqs with STARsolo, filter cells with DropletUtils and reformat all outputs to be easily used by the function 'Read10X' from Seurat.

Work-in-progress

bacpage{width=500}

This repository contains an easy-to-use pipeline for the assembly and analysis of bacterial genomes using ONT long-read or Illumina short-read technology.

Introduction

Advances in sequencing technology during the COVID-19 pandemic has led to massive increases in the generation of sequencing data. Many bioinformatics tools have been developed to analyze this data, but very few tools ...

Type: Workflow Description Language

Creators: None

Submitter: Nathaniel Matteson

Work-in-progress

This is a Nextflow implementaion of the GATK Somatic Short Variant Calling workflow. This workflow can be used to discover somatic short variants (SNVs and indels) from tumour and matched normal BAM files following GATK's Best Practices Workflow. The workflowis currently optimised to run efficiently and at scale on the National Compute Infrastructure, Gadi.

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