Manolis Kellis

TL;DR: The screen for significant mutation patterns coupled with correlative mutational analysis identified new individual driver candidates and suggest that some non-coding mutations recurrently affect expression and play a role in cancer development.

TL;DR: It is found that the predicted frequency of self-interactions in the preduplication network is significantly higher than that observed in today's network, which could suggest a structural difference between the modern and ancestral networks, preferential addition or retention of interactions between ohnologs, or selective pressure to preserve duplicates ofSelf-interacting proteins.

TL;DR: This paper found that IFN-γ+ γδ T cells were almost exclusively dependent on glycolysis, whereas IL-17+ Δ T cells strongly engaged oxidative metabolism, with increased mitochondrial mass and activity.

TL;DR: ChromDiff is presented, a group-wise chromatin state comparison method that generates an information-theoretic representation of epigenomes and corrects for external covariate factors to better isolate relevant Chromatin state changes.

TL;DR: This work presents a novel algorithm, DLCpar, that achieves high accuracy, comparable to sophisticated probabilistic reconciliation methods, at reduced run time and with far fewer parameters, which enable inferences of the complex evolution of gene families across a broad range of species and large data sets.