Tools for predicting pathogenic impact
The RegSNPs Gateway provides access to tools for predicting pathogenic impact of intronic single nucleotide variants and prioritizing disease causing synonymous SNV (Single Nucleotide Variant).
The research laboratory led by Yunlong Liu, PhD, develops innovative computational and high-throughput genomics approaches in studying gene regulation, with the focus on splicing regulation.
Center for Computational Biology
The Liu lab is located in the Center for Computational Biology
Specific research areas include developing computational algorithms and high-throughput genomics experimental approaches in studying functions of genetic variants in complex diseases, designing methodologies on next-generation sequencing and single-cell analytics, and understanding regulatory mechanisms and translational impact of alternative splicing in a variety of disease systems, including cancer, diabetes, neurological diseases, and addiction.
Tools
Tools developed by the Liu Lab suited for your medical research
regSNPs-intron
A computational framework for predicting pathogenic impact of intronic single nucleotide variants
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Features
Your aid to locate instrumentation and services suited to your research
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Computational Resource Access
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