scCTS: identifying the cell type-specific marker genes from population-level single-cell RNA-seq

hatpal is an R package for alternative polyadenylation (APA) identification & analysis using 3’ scRNA-seq (10x etc.).

A utility designed to assess the performance of various tools in detecting highly variable genes in scRNAseq data

This repo contains the analytical code to analyze two scRNA-seq data to better understand the cochlear duct extension during development

3' UTR cleavage site identification from the Mouse Cell Atlas

Identify variable genes in scRNA-seq and spatial transcriptomics data using approximate Bayesian inference

A effort to collect all of the scRNA imputation methods and allow them to interface with scRNA-seq libraries (i. e. Seurat, SingleCellAssay, etc...)

I've written a few functions that help me look through scRNA-seq data while working with Seurat.

scRNA-seq datasets to support Jung et al, Sci Adv, 7(6): eabe5735, 2021. DOI: 10.1126/sciadv.abe5735

Collection of customised plotting functions.

Integrated Analysis of CircRNA Regulation with ADARB2 Enrichment in Inhibitory Neurons (Computers in Biology and Medicine, 2024)

scRNA-seq for COVID-19 samples, with healthy controls.

Project analyzing multi-omics genomics data from a COVID-19 study.

Integrated analysis of bulk-RNA seq and single-cell RNA seq data for COVID-19

Effect of temperature stress on Plasmodium Falciparum. Code for data analysis. Rshiny app for data exploration.

Designing a framework to assess the performance of various tools in detecting HVGs in diverse datasets of scRNA-seq data in R

Differential expression analysis of CAMA-1 cells in the context of ribociclib resistance and facilitation.

A Comprehensive Toolkit to Analyze Multi-Sample Multi-Condition Single-Cell Transcriptomics Data