Pipeline for differential gene expression (DGE) and differential transcript usage (DTU) analysis using long reads
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Updated
Feb 7, 2023 - Python
Pipeline for differential gene expression (DGE) and differential transcript usage (DTU) analysis using long reads
Interactive R package to quantify, analyse and visualise alternative splicing
Workshop • Analysis of RNA-seq data
Differential expression (DE); gene set Enrichment Analysis (GSEA); single cell RNAseq studies (scRNAseq)
ASAP : Automated Single-cell Analysis Pipeline
Gene-level general linear mixed model
Script to automate differential expression analysis using DESeq2, edgeR or limma-voom
📊 An R package of RNA-seq workflow
An application for exploring and visualizing differential gene expression data created with DESeq2
Scripts to run differential expression analysis using DESeq2 package
Code and figures for the Differential Causal Inference (DCI) algorithm
Curare - A customizable and reproducible analysis pipeline for RNA-Seq experiments
Python framework for explainable omics analysis
🍊 View the gene expression response to TNF and IL-17A with vanilla Javascript and HTML.
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
Comparison of gene usage in immune repertoires under different biological conditions
RNA-seq alignment and analysis pipeline
Accurate, easy and integrated suit to compare RNA samples with different degradation levels, quantify decay rates per-transcript and correct for degradation-induced artifacts in differential gene/transcript comparisons
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.
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