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MultiQC - Aggregate results from bioinformatics analyses across many samples into a single report.

  •    Python

MultiQC is a tool to create a single report with interactive plots for multiple bioinformatics analyses across many samples. MultiQC is written in Python (tested with v2.7, 3.4, 3.5 and 3.6). It is available on the Python Package Index and through conda using Bioconda.

dropSeqPipe - A SingleCell RNASeq pre-processing pipeline built on snakemake

  •    R

This pipeline is based on snakemake and the dropseq tools provided by the McCarroll Lab. It allows to go from raw data of your Single Cell RNA seq experiment until the final count matrix with QC plots along the way. This is the tool we use in our lab to improve our wetlab protocol as well as provide an easy framework to reproduce and compare different experiments with different parameters.

MultiQC_TestData - Test data for MultiQC. See https://github.com/ewels/MultiQC

  •    HTML

MultiQC is a tool to aggregate bioinformatics results across many samples into a single report. This repository contains files to test MultiQC with. These are used in the automated Travis CI build tests and can be used whilst developing for MultiQC.





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