Genomics

iCOMIC: a graphical interface-driven pipeline for cancer genome data analysis workflows

Devi Priyanka Maripuri Anjana Anilkumar S Keerthika Moorthy Philge Philip Likith Reddy Sai Sruthi Ganesh Karthik Raman

Identifying context of mutation signatures in cancer genomes

Shayantan Banerjee B Ravindran Raghunathan Rengaswamy Karthik Raman Ashok Venkitaraman (MRC Cambridge)

Philge Philip

IBSE & Robert Bosch Center Data Science and Artificial Intelligence

Rajeeva Lokshanan Reguna Madhan

PhD scholar, Department of Biotechnology, Bhupat & Jyoti Mehta School of Biosciences

Likith Reddy P

Junior Research Fellow, Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences

Purnima K V K

PhD scholar, Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences

Nayana Vinayan

MS scholar, Department of Biotechnology, Bhupat & Jyoti Mehta School of Biosciences

Tamizhini L

Post Baccalaureate Fellow, Initiative for Biological Systems Engineering

Novel ratio-metric features enable the identification of new driver genes across cancer types

Journal: Scientific Reports

Sequence Neighborhoods Enable Reliable Prediction of Pathogenic Mutations in Cancer Genomes

Journal: Cancers

Gene–gene and gene–environment interactions in complex traits in yeast

Journal: Yeast