Titlebook: Research in Computational Molecular Biology; 19th Annual Internat Teresa M. Przytycka Conference proceedings 2015 Springer International Pu

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KGSrna: Efficient 3D Kinematics-Based Sampling for Nucleic Acids,ational modification and protein synthesis. Their activity is modulated by highly dynamic exchanges between three-dimensional conformational substates, which are difficult to characterize experimentally and computationally. Here, we present an innovative, entirely kinematic computational procedure t

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BWM*: A Novel, Provable, Ensemble-Based Dynamic Programming Algorithm for Sparse Approximations of mation (GMEC). This disproportionately favors the sequence of a single, static conformation and overlooks better sequences with multiple low-energy conformations. We propose a novel, provable, dynamic programming algorithm called .. (BWM.) to enumerate a gap-free ensemble of conformations in order o

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An Efficient Nonlinear Regression Approach for Genome-Wide Detection of Marginal and Interacting Ge However, detecting pairwise interaction effects of genetic variants on traits still remains a challenge due to a large number of combinations of variants (. SNP pairs in the human genome), and relatively small sample sizes (typically .). Despite recent breakthroughs in detecting interaction effects

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CoMEt: A Statistical Approach to Identify Combinations of Mutually Exclusive Alterations in Cancer,nguish these events from random passenger mutations that have no consequence for cancer. Identifying driver mutations is a significant challenge due to the mutational heterogeneity of tumors: different combinations of somatic mutations drive different tumors, even those of the same cancer type.