Workflows
What is a Workflow?Filters
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.
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.
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.
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
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
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 ...
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.
A Nextflow-based Quality Control tool used on assembled genomes and raw short and long reads data
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 ...
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