Workflows

What is a Workflow?
1479 Workflows visible to you, out of a total of 1577
Stable

This project is an analysis pipeline using Snakemake for RNAseq analysis in order to find differentially expressed genes. It has been widely tested on human RNA sequencing from an Illumina HiSeq but should work on most systems and many other species, provided the necessary resource files can be downloaded.

Description

This pipeline is set for paired-end data only from Illumina HiSeq output files.

The main steps of the pipeline are:

  • optionnal cleaning data with ...

To perform Qualification, Nitrate Calibration, Validation of One Argo float or One Glider by using Neural Network and Climatology. Copy past before running and change calibration parametrization if necessary

Associated Tutorial

This workflows is part of the tutorial Nitrate DMQC for autonomous platforms such as Argo floats, available in the GTN ...

Type: Galaxy

Creators: None

Submitter: GTN Bot

Stable

Soil Metagenome Pipeline

Soil Metagenome Pipeline is a modular, Nextflow DSL2 workflow for assembling, polishing, binning, annotating, and functionally characterizing complex soil metagenomes. It orchestrates state-of-the-art tools for long- and short-read metagenomics, generates high-quality MAGs, assigns taxonomy, and screens for biosynthetic gene clusters (BGCs).

What it does

  • Assembles long-read metagenomes (e.g., ONT) with Flye and optionally polishes with Medaka and/or NextPolish using ...

Type: Nextflow

Creator: Caner Bagci

Submitter: Caner Bağcı

DOI: 10.48546/workflowhub.workflow.1960.1

Stable

The workflow main goal is to align DNA-Seq read files with BWA-MEM , with optional adapter trimming, UMI consensus calling, duplicate marking. Finally it runs Multi QC to gather tool metrics. The workflow was designed to be run in the SeqUIa (http://cfb.ceitec.muni.cz/sequia) application.

Type: Snakemake

Creators: None

Submitter: Nicolas Blavet

Stable

The workflow main goal is to run divers tools to obtain alignment quality metrics from RNA-Seq, DNA-Seq, and ChIP-Seq using Picard, Qualimap, Samtools, dupradar, biotype analysis, FastQ Screen, RSeQC or Phantom peak. Finally it runs Multi QC to gather tool metrics. The workflow was designed to be run in the SeqUIa (http://cfb.ceitec.muni.cz/sequia) application.

Type: Snakemake

Creators: None

Submitter: Nicolas Blavet

Stable

The workflow main goal is to count reads aligned or pseudo-aligned to reference genome annotation using featureCount, HTSeq-count, RSEM, Kallisto or Salmon. Finally it runs Multi QC to gather tool metrics. The workflow was designed to be run in the SeqUIa (http://cfb.ceitec.muni.cz/sequia) application.

Type: Snakemake

Creators: None

Submitter: Nicolas Blavet

Stable

The workflow main goal is to align RNA-Seq read files with STAR and to check for duplicates using either Picard Markduplicates or UMI-tools. Finally it runs Multi QC to gather tool metrics. The workflow was designed to be run in the SeqUIa (http://cfb.ceitec.muni.cz/sequia) application.

Type: Snakemake

Creators: None

Submitter: Nicolas Blavet

Workflow for quality assessment of paired reads and classification using NGTax 2.0 and functional annotation using picrust2.
In addition files are exported to their respective subfolders for easier data management in a later stage.

Steps:

  • Quality plots (FastQC)
  • NG-TAX 2 High-throughput Amplicon Analysis
  • PICRUSt 2 - Function prediction from marker gene sequences
  • Export module for ngtax

Type: Common Workflow Language

Creators: Bart Nijsse, Jasper Koehorst

Submitter: Jasper Koehorst

DOI: 10.48546/workflowhub.workflow.154.2

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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