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Krishna Karuturi, Ph.D.

Senior Director, Computational Sciences

Farmington, CT

Computational Cancer Biology, Statistical Bioinformatics, Network Biology and Predictive Genomic Medicine

Contact me at: 207-288-6000

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Contact Krishna Karuturi, Ph.D.

About Krishna Karuturi, Ph.D.

My primary responsibility is to direct R&D operations of Computational Sciences (CS) at The Jackson Laboratory. CS works with our collaborators and partners at all campuses of The Jackson Laboratory and the expertise of CS spans the whole landscape of bioinformatics.

My research interests are in developing and applying statistical bioinformatics methods, machine learning algorithms and network biology approaches to understand disease biology and model biological processes such as cell division cycle and DNA replication. We mine integrative heterogeneous omics data analysis and modeling as basis for our research.

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Krishna Karuturi on Google Scholar

Krishna Karuturi on Researchgate

Selected Publications

Highlighted Abstract

Biclustering is an important analysis procedure to understand the biological mechanisms from microarray gene expression data. Several algorithms have been proposed to identify biclusters, but very little effort was made to compare the performance of different algorithms on real datasets and combine the resultant biclusters into one unified ranking.

Research HighlightJanuary 18, 2021
JAX uses genetic models to fight CUP
A JAX team developed CUP-AI-Dx, a machine learning tool that uses RNA sequence data for analysis. The researchers show that CUP-AI-Dx provides an important clinical tool to help guide therapies for CUP patients.