Mark Gerstein

TL;DR: It is found that the raw signals from these two technologies are reasonably well correlated but that RNA-Seq outperforms tiling arrays in several respects, notably in exon boundary detection and dynamic range of expression.

TL;DR: Because orthologs can only be identified when the whole gene inventories from all the involved species are examined, the distribution of identified Orthologs among species is an immediate result of looking into the composition of ortholog groups.

TL;DR: In this article, the authors constructed statistical models to relate TF binding and histone modification (HM) to gene expression levels in mouse embryonic stem cells and found that TF binding achieved the highest predictive power in a small DNA region centered at the transcription start sites of genes, while HMs exhibited high predictive powers across a wide region around genes.

TL;DR: This work developed a comprehensive set of data mining features for each protein, including several related to experimental progress and demonstrated in detail the application of a particular machine learning approach, decision trees, to the tasks of predicting a protein's solubility and propensity to crystallize based on sequence features.

TL;DR: An in-depth proteomic survey of regions of the postnatal human brain, ranging in age from early infancy to adulthood, revealed varied patterns of protein–RNA relationships, with generally increased magnitudes of protein abundance differences between brain regions compared to RNA.