Template R code for bioinformatics analysis pipeline of transcriptomic Illumina datasets
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Updated
Jun 2, 2024 - HTML
Template R code for bioinformatics analysis pipeline of transcriptomic Illumina datasets
RNA-seq replication analysis.
Differential Gene Expression analysis in R using DESeq2
An application for exploring and visualizing differential gene expression data created with DESeq2
Differential gene expression analysis for samples with replicates using STAR-DeSeq2 pipeline
Off-target analysis of siRNA knock down paired with RNAseq
Jupyter notebooks for DGE results and ontology analysis and visualisation.
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.
Bulk Rna-seq Analysis
DESeq2 Analysis of Human Airway Smooth Muscle Cells
Performing RNA-Seq data analysis and quality control using DESeq2 in R.
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…
Repository containing code I have written in R.
Part of the final project for an Intro to Bioinformatics graduate course. Using RStudio I ran DESeq2 to show differentially expressed genes between control mice and mice infected with RSV.
Performing RNA-seq data analysis with DESeq2 package of bioconductor
Differential Gene Expression (DGE) Analysis with DESeq2 using a reference genome
Ferroptosis and antioxidant effect on stem cells
A script to analyze with DESeq2 data from Kallisto. You maybe are interested only in DESeq2 part and its analisis and representation :)
Tutorial for RNA sequence data processing and simple downstream analysis with Drosophila melanogaster
Bioinformatic differential expression analyses pipeline to investigate biomarkers in Parkinson disease.
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