Noa Ecker

TL;DR: In this paper, the authors used a combined computational-experimental approach to explore protein degradation in E. coli and showed that fast-degrading proteins can be identified using a combination of various protein properties, including structural, physicochemical, and protein-protein interaction network descriptors.

TL;DR: A quantitative pulsed-SILAC method followed by mass spectrometry analysis is employed to determine the half-lives for the proteome of exponentially growing Escherichia coli, and dozens of novel proteins that are fast-degrading are identified.

TL;DR: In this paper , a methodology for aligning sequences using an NLP approach called BetaAlign was proposed. But the alignment accuracy was not as good as other commonly used methods, such as MAFFT, DIALIGN, ClustalW, T-Coffee, PRANK and MUSCLE.

TL;DR: A probabilistic approach to infer genome rearrangement rate parameters using an Approximate Bayesian Computation (ABC) framework is developed and characterized the ABC inference accuracy using simulations and applied the methodology to both prokaryotic and eukaryotic empirical datasets.