Krishna R. Kalari

TL;DR: TREAT (Targeted RE-sequencing Annotation Tool) is a tool for facile navigation and mining of the variants from both targeted resequencing and whole exome sequencing that provides a rich integration of publicly available as well as in-house developed annotations and visualizations for variants, variant-hosting genes and host-gene pathways.

TL;DR: Wnt/β-catenin pathway activation and increased cell cycle progression scores can serve as molecular markers for predicting resistance to AA/P therapy.

TL;DR: This paper performs a systematic comparison of exon-intron structure and GC content on all known genes in the human genome and finds that the GC content of introns and exons varies significantly depending on their length.

TL;DR: A novel computational system, SPeeDD ( system to prioritize deletions or duplications) that utilizes machine learning techniques to predict likely candidate regions that delete or duplicate exon(s) within a gene is developed.