Bioinformatics, or more precisely, computational biology, is the study and implementation of mathematical modelling, statistics, and data analysis to study biological systems. Historically, the term bioinformatics refers to the study of informatic processes on biotic systems. Currently, the field of bioinformatics overlaps and complements the emerging field of data science.
CMRI has a team of scientists working on bioinformatics and data science research. Our team collaborate with CMRI medical researchers to develop software and implement computational solutions for diverse research tasks. Our bioinformaticians turn data generated in the laboratories into meaningful information to answer complex biological problems. The team also develop open-source computational software, which is useful for other researchers. Our researchers provide training on statistical, mathematical modelling and computational techniques to students and researchers.
CMRI bioinformaticians deal with a variety of research data, including genomics (genome-wide sequencing of DNA), epi-genomics (modifications to chromatin and DNA), transcriptomics (tissue and single-cell RNA sequencing), proteomics (large scale identification and characterization of proteins by mass spectrometry), pharmaco-omics (drug responses based on multiple -omics data) and cell imaging.
The team develops software and novel mathematical methods for the analysis of biological data. Our scientists work on numerical simulations of biological systems. We apply machine learning techniques to medical research problems.
Our team has experts in diverse fields with expertise in biology, mathematics, statistics, physics, and computer sciences.
