HPC-T-Assembly, a scalable pipeline leveraging high-performance computing (HPC) for de novo transcriptome assembly of large, multi-species RNA-Seq datasets. This tool streamlines the assembly process, optimizing resource allocation and parallelization to handle diverse, complex transcriptomes efficiently.

This is the digital version of my master project's logbook that is created by using Streamlit Python package to document all the command lines and codes that I ran to do my project so that other researchers can later reproduce the exact same analysis results

Code for the analysis of alternative splicing in the developing mammalian brain (Open Biology, 2024), integrating short- and long-read RNA-seq to detect and quantify cell-type–specific splicing events.