This team develops clinically usable tools for the incorporation of large, complex and diverse life science datasets (such as high throughput sequencing, gene expression, proteomics) to facilitate better patient treatment and improved clinical outcomes.
NGSANE – Analysis Framework for Genomics Data from High Throughput Experiments
Blue – A fast, accurate short-read error-correction tool based on k-mer consensus and context
VariantSpark – Package to perform machine learning analysis on genomic variant files using Spark and Mllib
CRC for Mental Health
Early identification of Alzheimer’s disease.