Kamalakar Gulukota

Peptide docking using dynamic programming

Charles DeLisi, Sandor Vajda, Kamalakar Gulukota, 1996 .

Peptide docking using dynamic programming

Charles DeLisi, Sandor Vajda, Kamalakar Gulukota, 1996, J. Comput. Chem..

Predicting GPCR-G-protein coupling using hidden Markov models

Kamalakar Gulukota, Kodangattil R. Sreekumar, You-Ping Huang, 2004, Bioinform..

BayClone: Bayesian Nonparametric Inference of Tumor Subclones Using NGS Data

Yuan Ji, Arunava Banerjee, Juhee Lee, 2014, Pacific Symposium on Biocomputing.

A Bayesian feature allocation model for tumor heterogeneity

Yuan Ji, Peter Muller, Kamalakar Gulukota, 2015, 1509.04026.

Zodiac: A Comprehensive Depiction of Genetic Interactions in Cancer by Integrating TCGA Data.

Riten Mitra, Peter Müller, Yuan Ji, 2015, Journal of the National Cancer Institute.

Ultra-fast local-haplotype variant calling using paired-end DNA-sequencing data reveals somatic mosaicism in tumor and normal blood samples

Yuan Ji, Yitan Zhu, Carole Ober, 2015, Nucleic acids research.