Workflows

What is a Workflow?
1194 Workflows visible to you, out of a total of 1275

Find and annotate variants in ampliconic SARS-CoV-2 Illumina sequencing data and classify samples with pangolin and nextclade

Type: Galaxy

Creators: Peter van Heusden, Peter van Heusden

Submitter: WorkflowHub Bot

This workflow takes a VCF dataset of variants produced by any of the *-variant-calling workflows in https://github.com/galaxyproject/iwc/tree/main/workflows/sars-cov-2-variant-calling and generates tabular lists of variants by Samples and by Variant, and an overview plot of variants and their allele-frequencies.

Type: Galaxy

Creators: Wolfgang Maier, Wolfgang Maier

Submitter: WorkflowHub Bot

COVID-19: variation analysis on ARTIC PE data

The workflow for Illumina-sequenced ampliconic data builds on the RNASeq workflow for paired-end data using the same steps for mapping and variant calling, but adds extra logic for trimming amplicon primer sequences off reads with the ivar package. In addition, this workflow uses ivar also to identify amplicons affected by primer-binding site mutations and, if possible, excludes reads derived from such ...

Assembly of bacterial paired-end short read data with generation of quality metrics and reports

Type: Galaxy

Creators: Abromics , Pierre Marin, Clea Siguret, abromics-consortium

Submitter: WorkflowHub Bot

Short paired-end read analysis to provide quality analysis, read cleaning and taxonomy assignation

Type: Galaxy

Creators: ABRomics , Pierre Marin, Clea Siguret, abromics-consortium

Submitter: WorkflowHub Bot

KNIME workflow describing the analysis of mass spectrometry dataset related to the publication "Proximity interactomics identifies RAI14, EPHA2 and PHACTR4 as essential components of Wnt/planar cell polarity pathway in vertebrates". Workflow was built using the KNIME software container environment, version 4.7.7a, which can be created using "docker pull cfprot/knime:4.7.7a" command in Docker. The input data for the KNIME workflow (the report.tsv from DIA-NN) can be found on PRIDE repository under ...

Work-in-progress

demux_doublet_sim

Repository for Nextflow pipeline used in demuxSNP demultipelxing paper

Overall workflow

  1. Simulate doublets
  1. Benchmark methods
  • Experiments 1: Vary doublet rate
  • Experiment 2: Vary SNP subsetting

Inputs

Most inputs are specified in nextflow.config: container__souporcell: path to souporcell apptainer image, ideally at top level of project. bam_path: Path to demultiplexed bam files. barcodes_path: Path to demultiplexed barcodes. tenx: Path to barcodes.tsv, features.tsv ...

Type: Nextflow

Creators: Michael Lynch, Leverages scripts developed by Weber et al (2021) DOI: https://doi.org/10.1093/gigascience/giab062

Submitter: Michael Lynch

DOI: 10.48546/workflowhub.workflow.1160.2

Stable

Stratum corneum nanotexture feature detection using deep learning and spatial analysis: a non-invasive tool for skin barrier assessment

This repository presents an objective, quantifiable method for assessing atopic dermatitis (AD) severity. The program integrates deep learning object detection with spatial analysis algorithms to accurately calculate the density of circular nano-size objects (CNOs), termed the Effective Corneocyte Topographical Index (ECTI). The ECTI demonstrates remarkable ...

Type: Python

Creator: Jen-Hung Wang

Submitter: Jen-Hung Wang

DOI: 10.48546/workflowhub.workflow.1161.1

EuCanImage FHIR ETL Implementation

This repository contains the ETL implementation for EuCanImage, encouraging semantic interoperability of the clinical data obtained in the studies by transforming it into a machine-readable format following FHIR standards. This parser uses FHIR Resources in order to create the dictionaries following a FHIR compliant structure.

EuCanImage FHIR ETL Implementation

This repository contains the ETL implementation for EuCanImage, encouraging semantic interoperability of the clinical data obtained in the studies by transforming it into a machine-readable format following FHIR standards. This parser uses FHIR Resources in order to create the dictionaries following a FHIR compliant structure.

Type: Python

Creators: Aldar Cabrelles, Based on FHIR Resources made by NazrulWorld on GitHub (https://github.com/nazrulworld/)

Submitter: Aldar Cabrelles

DOI: 10.48546/workflowhub.workflow.1156.1

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