Interactive R package to quantify, analyse and visualise alternative splicing

Gene-level general linear mixed model

Scripts to run differential expression analysis using DESeq2 package

Script to automate differential expression analysis using DESeq2, edgeR or limma-voom

RNA-seq alignment and analysis pipeline

Worked with fellow peers at University of Pittsburgh under supervision of Dr. Junshu Bao, Department of Statistics, University of Pittsburgh, to do a Differential Gene Expression Analysis on a Dexamethasone treatment data set and incorporated Machine Learning into project.

📊 An R package of RNA-seq workflow

Comparison of gene usage in immune repertoires under different biological conditions

Pipeline for analyzing RNAseq data of human and mouse - beginner friendly with minimal user inputs

Temporal Integrative Genomics Analysis in R

Differential Gene Analysis of Telomere Microarray Data

The package RNAseqAnalysis does the complete analysis of RNA seq data starting from raw reads. It provides the user with differnt functions like generation of qc report, filtering, assembly and GO-term annotation, differential expression analysis and heatmap generation, and Alternative splicing-site prediction

RNA-Seq data analysis: Quantification, Differential Gene Expression, Differential Transcripts Usage

Differential gene expression analysis for samples with replicates using STAR-DeSeq2 pipeline

Viper is a Snakemake workflow, aimed at performing the RNA-seq workflow of the paper 'Causes and consequences of a glutamine induced normoxic HIF1 activity for the tumor metabolism', Kappler et al. (2019) in a reproducible and automated manner

An R package: RNA structure and Expression analysis

RNA-seq analysis pipeline

Differential Gene Expression, Phylogenetic tree, Sequence Alignments, Biostatistics, Bioinformatic

Analysis on the acquired genes (365 genes from Glioma patients)-in relation to the paper https://www.nature.com/articles/sdata201724

Bayesian Gene Selection Criterion (BGSC) approach