iCOMIC: a graphical interface-driven bioinformatics pipeline for analyzing cancer omics data
Despite the tremendous increase in omics data generated by modern sequencing technologies,...
Computational Systems Biology Lab
Karthik Raman's Lab @ IIT Madras
0Comment
Multi-omic data improves prediction of personalised tumor suppressors and oncogenes
The progression of tumorigenesis starts with a few mutational and structural driver...
Novel ratio-metric features enable the identification of new driver genes across cancer types
An emergent area of cancer genomics is the identification of driver genes....
Utilizing the language of DNA to decipher the driving force behind cancer
The overall aim of this experiment is to build a model using...
Sequence Neighborhoods Enable Reliable Prediction of Pathogenic Mutations in Cancer Genomes
Identifying cancer-causing mutations from sequenced cancer genomes hold much promise for targeted...
Metabolite systems profiling identifies exploitable weaknesses in retinoblastoma
Retinoblastoma (RB) is a childhood eye cancer. Currently, chemotherapy, local therapy, and...
Ⓒ 2015 Computational Systems Biology Lab, IIT Madras Credits: Theme Zenon Lite by Towfiq I.