Differential expression analysis: DESeq2, edgeR, limma. Realized in python based on rpy2

An application for exploring and visualizing differential gene expression data created with DESeq2

Pipeline for RNA-seq analysis

Off-target analysis of siRNA knock down paired with RNAseq

Template R code for bioinformatics analysis pipeline of transcriptomic Illumina datasets

Analysis of B. saida full liver transcriptome data from raw reads to gene ontology.

Deposited R scripts allow to execute a complete RNA-seq Pipeline, starting from sequence reads (FASTQ files) to mapping/annotate the genome using a reference, to counts the number of reads for every gene. when raw counts are obtained, DESeq2 module permits to find differentially expressed genes (DEG) and to perform statistical analysis. The last…

Tutorial for RNA sequence data processing and simple downstream analysis with Drosophila melanogaster

Breast Cancer Dataset Analysis

DESeq2 Analysis and visualization of specific genes, notably Pasilla. Script aims to identify and filter differentially expressed genes and neatly store the results. The project also includes Gene Ontology (GO) and Kegg pathway analyses, providing insights into the biological processes affected by the Pasilla gene depletion.

Performing RNA-Seq data analysis and quality control using DESeq2 in R.

Post processing of Capture-C experiments

Bulk Rna-seq Analysis

Differential Expression Analysis of protein, Gene set enrichment analysis, Multi-omic factor analysis, Pathway analysis, WGCNA

Performing RNA-seq data analysis with DESeq2 package of bioconductor

Automated DE analysis by DESeq2

DESeq2 Analysis of Human Airway Smooth Muscle Cells

Jupyter notebooks for DGE results and ontology analysis and visualisation.

RNA-seq replication analysis.

Differential Gene Expression (DGE) Analysis with DESeq2 using a reference genome