Interactive R package to quantify, analyse and visualise alternative splicing
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Updated
Jul 15, 2024 - R
Interactive R package to quantify, analyse and visualise alternative splicing
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
Scripts to run differential expression analysis using DESeq2 package
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
Temporal Integrative Genomics Analysis in R
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
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: RNA structure and Expression analysis
Bayesian Gene Selection Criterion (BGSC) approach
Differential Gene Expression, Phylogenetic tree, Sequence Alignments, Biostatistics, Bioinformatic
Pipeline for analyzing RNAseq data of human and mouse - beginner friendly with minimal user inputs
Differential gene expression analysis for samples with replicates using STAR-DeSeq2 pipeline
RNA-Seq data analysis: Quantification, Differential Gene Expression, Differential Transcripts Usage
Analysis on the acquired genes (365 genes from Glioma patients)-in relation to the paper https://www.nature.com/articles/sdata201724
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