simplified cellranger for long-read data

Research into the viability of leveraging deep learning to successfully generate synthetic biological samples and identify predictive genetic variants.

Course Assignment on Clustering of Spatial Transcriptomics Data

The Advanced Genome Browser

Computational Genomics with R のサンプル集です

🏥 This is my attempt at the selection tests for the GSOC 2019 project, "Human history and data visualization" under the Canadian Center for Computational Genomics

This repository contains all the materials for the final project of "Introduction to Bioinformatics", conducted in the fall of 2023 at Sharif University of Technology. The project explores the evolution of flight in birds, covering a wide range of Bioinformatics tasks like Gene Expression Analysis, Genome Assembly, Sequencing and Alignment.

scRNA-seq cell type classification benchmark showing that random cell-level splits inflate performance due to donor-level leakage

Homepage of Dr Stephen P. Moss, Computational Scientist

CGG toolkit version 1.0.1

Biplots, Volcano plots, PCA plots, Heatmaps and more Computational Genomics data created and visualized during University of Pittsburgh course, Computational Biology (BIOSC1540), with Dr. Miler Lee

🧠 Implement Bayesian network inference in Python with exact and approximate algorithms for accurate probability estimation and performance analysis.

Independent project I undertook to perform a full ChIP-Seq analysis of the transcription factor Nanog in Zebrafish embryos.

Workshops, Course Schedule and Teaching Assistant Review from my time as a chosen Undergraduate Teaching Assistant for the University of Pittsburgh course, BIOSC1540 - Computational Genomics taught by Dr. Miler Lee.

Bioinformatics wealth of African countries

Internship project: Decomposition of somatic mutation profiles into mutational signatures

Computational genomics and forensic AI framework for degraded DNA identification, ancestry inference, and probabilistic genomic analysis using 1000 Genomes data.

Hack Canada 2026 Solo Project - Simulating Liquid Biopsy Cancer Detection

Kuan-Hao Chao's Website

This project focuses on analyzing gene expression data from TCGA cancer data to derive associations among genes as well as disease phenotypes, co-expression signatures, and survival analysis.