Workflows

What is a Workflow?
1489 Workflows visible to you, out of a total of 1587
Work-in-progress

Workflow for quality assessment and taxonomic classification of amplicon long read sequences. In addition files are exported to their respective subfolders for easier data management in a later stage.

Inputs are expected to be basecalled fastq files

Steps:

  • NanoPlot read quality control, before and after filtering
  • fastplong read quality and length filtering
  • Emu abundance; species-level taxonomic abundance for full-length 16S read

Type: Common Workflow Language

Creators: Bart Nijsse, Jasper Koehorst

Submitter: Bart Nijsse

KNIME workflow describing the analysis of mass spectrometry dataset related to the publication "Multisite phosphorylation of intrinsically disordered region of DVL facilitates Wnt signaling". Workflow was built using the KNIME software container environment, version 4.7.7, which can be created using "docker pull cfprot/knime:4.7.7" command in Docker.

Briefly, it contains the contaminants removal, log2 intensities transformation, data filtering, normalization, imputation of missing values and ...

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Type: Nextflow

Creators: Austyn Trull, Lara Ianov

Submitter: WorkflowHub Bot

Stable

The workflow main goal is to quality trim reads of input fastq files and to remove adaptors. It can also run Biobloom tools and species detector in order to check for contamination. Finally it runs fastq QC to obtain quality check after trimming. The workflow was designed to be run in the SeqUIa (http://cfb.ceitec.muni.cz/sequia) application.

Type: Snakemake

Creators: None

Submitter: Nicolas Blavet

A Nextflow-based Quality Control tool used on assembled genomes and raw short and long reads data

Type: Nextflow

Creator: Henry Schober

Submitter: Henry Schober

DOI: 10.48546/workflowhub.workflow.1950.1

Stable

Description

The Settlement Delineation and Analysis (SDA) workflows generates a settlement network from geospatial settlement data. It can process geotiff and shapefile inputs and was originally designed to operate on the World Settlement Footprint dataset. Through multiple workflow stages, a settlement network is constructed, contracted (i.e. clustered) and ultimately analysed with centrality measures. The output shapefile stores the ...

Type: Docker

Creator: Lorenz Gruber

Submitter: Lorenz Gruber

DOI: 10.48546/workflowhub.workflow.1308.2

Stable

The workflow main goal is to check the quality of input fastq files after sequencing and demultiplexing. Optionaly it can check for most abundant adaptor sequences. It can also merge fastq files belonging from the same samples after resequencing prior to quality check. The workflow was designed to be run in the SeqUIa (http://cfb.ceitec.muni.cz/sequia) application.

Type: Snakemake

Creators: None

Submitter: Nicolas Blavet

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Type: Nextflow

Creators: James A. Fellows Yates, Sofia Stamouli, Moritz E. Beber, Lauri Mesilaakso, Thomas A. Christensen II, Jianhong Ou, Mahwash Jamy, Maxime Borry, Rafal Stepien, Tanja Normark

Submitter: WorkflowHub Bot

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Type: Nextflow

Creators: @praveenraj2018 , @praveenraj2018

Submitter: WorkflowHub Bot

Stable Tests Passing

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Type: Nextflow

Creators: Harshil Patel, Phil Ewels, Rickard Hammarén

Submitter: WorkflowHub Bot

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