Chia Sin Liew, Ph.D. — Computational Biology & Multi-Omics Research
I'm Chia Sin Liew, a computational biologist at the University of Nebraska–Lincoln Bioinformatics Core. I bridge wet- and dry-lab research by translating complex multi-omics, single-cell, transcriptomic, and metagenomic datasets into actionable biological insights. Guided by scientific rigor and effective cross-disciplinary communication, I develop tailored solutions—including custom analytical workflows—to address unique research challenges.
Feel free to connect with me on LinkedIn.
Research & Projects
Single-Cell & Single-Nuclear RNA-Seq Framework
Standardized bioinformatic processing workflow for core facility clients of 10x Genomics data, covering the Cell Ranger pipeline, including alignment and quantification, ambient RNA removal, doublet/multiplet detection, quality control, filtering, clustering, and automated cell-type annotation.
Tech: RNA-seq • Single-Cell • Cell Ranger • CellBender • DoubletFinder • Seurat • SingleR • R • Python • HPC / SLURM • Snakemake
Bulk RNA-Seq Processing and Quantification Workflow
Scalable Snakemake workflow for transcriptomics data transcript- and gene-level profiling, as well as QC statistics at various stages of the workflow.
Tech: RNA-seq • STAR • Salmon • DESeq2 • R • Python • HPC / SLURM • Snakemake
Automated Reporting & Visualization Framework
Automated report generation using outputs from the above RNA-Seq workflows to visualize key findings such as clustering patterns, cell-type annotations, and differentially expressed genes. Built with Quarto to deliver presentation-ready visualizations and interactive tables.
Tech: HTML Report Generation • Quarto • Data Visualization • Multi-Omics
Writing
Articles on computational biology and technology will be published periodically on Substack.