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Bulk RNA-seq secondary analysis workflow

This pipeline aims to provide unsupervised data analysis from Singlecell RNAseq data. The alignment is done with Tophat2 followed by htseqcount. After filtering, DeSeq2 and Vst are applied. Finally, the unsupervised analysis is done with WGCNA.

Archive repository of MEDUSA code (see https://hal.archives-ouvertes.fr/hal-00839321) for details

RNAseq pipeline for gene expression quantification.

project to store myeloma-5hmc paper code

Notebook M2BB stage Institut du Thorax

Scripts used to pre-process fastq and run dada2 on TARA data

R functions that provide utilities for RNA-Seq analyses.

Memory efficient model cloning approach using data sharing.

Based on the Eclipse Modeling Framework (EMF).

Moclodash stands for "Model cloning with data sharing".

From fastq to Allelic expression with GATK

Snakemake pipeline to launch perform minimum generation time analysis.

M2 Degre project have to aim to isolate CNV share by patient from family with possibility to filter CNV on lenght, frequency from GnomAD v2.1.1 and interest genome region. Develop by Romain LAUNAY and Pierre OLCHESQUI with participation of Xavier L G