Iteratively randomly pooling scRNA-seq expressing a given gene from different numbers of cells and running DESeq2 with fdrtools correction to determine how many times which genes come out as enriched with said gene

Code and scripts for the RNA-seq analysis of project: Deciphering the cellular roles and dissecting functional regions of UPF3A and UPF3B in human NMD

linked with Bioinformatics analysis

Differential Gene Expression analysis in R using DESeq2

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

We use gene expression data to perform gene set enrichments and random forest predictions to distinguish between four tumor types.

Simple Nextflow RNA-Seq pipeline

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

R workflows used to analyze microbial community sequence data

Collection of customised plotting functions.

Next generation sequencing expression analysis pipeline

SBC analysis with DIGIST

Workflow to simulate an RNA-seq reads and perform DE-analysis

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.

R 语言基础，数据分析， 可视化，生物以及临床医学研究

Public repo for the recount Bioconductor workflow that is visible at http://bioconductor.org/help/workflows/

Tuberculosis and the microbiome

Repository miscellaneous R scripts including scripts for RNAseq analysis

https://foreverstas.github.io/DGE_workshop_rus/

A collection of Jupyter notebooks for basic analysis of the data from the "BeatAML" study by Tyner et al. (2018)