Pavankumar Videm

TL;DR: The ultimate goal is to expand the breadth of training materials to include fundamental statistical and data science topics and to precipitate a complete re-engineering of undergraduate and graduate curricula in life sciences.

TL;DR: The RNA workbench is presented, a comprehensive set of analysis tools and consolidated workflows that enable the researcher to combine RNA-centric data and analysis tools with other types of experimental data such as RNA-seq or ChIP-seq, providing researchers with a reliable and robust framework for RNA data analysis.

TL;DR: RNA-Seq analyses of Foxg1cre/+ hippocampi and N2a cells overexpressing miR200 family members identified cAMP-dependent protein kinase type II-beta regulatory subunit (PRKAR2B) as a target of miR 200 in neural cells and data suggest that FOXG1 regulates PRKar2B expression both on transcriptional and posttranscriptional levels.

TL;DR: In this paper, the authors propose a novel way to encode expression profiles in compact discrete structures, which can then be processed using fast graph-kernel techniques, and show how the proposed approach is scalable, accurate and robust across different organisms, tissues and cell lines.