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Mark Gerstein

Researcher at Yale University

Publications -  802
Citations -  172183

Mark Gerstein is an academic researcher from Yale University. The author has contributed to research in topics: Genome & Gene. The author has an hindex of 168, co-authored 751 publications receiving 149578 citations. Previous affiliations of Mark Gerstein include Rutgers University & Structural Genomics Consortium.

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Journal ArticleDOI

Comparative analysis of genome tiling array data reveals many novel primate-specific functional RNAs in human.

TL;DR: The existence of potential primate-specific functional transcripts has demonstrated the limitation of previous genome comparison studies, which put too much emphasis on conservation between human and rodents and argues for the necessity of sequencing additional primate species to gain a better and more comprehensive understanding of the human genome.
Book ChapterDOI

Semantic Web Approach to Database Integration in the Life Sciences

TL;DR: This chapter presents two use cases, namely YeastHub and LinkHub, which demonstrate how to use the latest RDF database technology to build data warehouses that facilitate integration of genomic/proteomic data and identifiers.
Journal ArticleDOI

Identification of Genes Critical for Resistance to Infection by West Nile Virus Using RNA-Seq Analysis

TL;DR: A high-throughput method based on a novel gene expression analysis, RNA-Seq, is used to give a global picture of differential gene expression by primary human macrophages of 10 healthy donors infected in vitro with WNV.
Journal ArticleDOI

What is the natural boundary of a protein in solution

TL;DR: A comparison of these 'normal' water simulations with a simulation of a simple, uncharged solvent highlights the importance of hydrogen bonding in structuring liquid water and further contrasts the molecular surface and the hydration surface.
Journal ArticleDOI

The DART classification of unannotated transcription within the ENCODE regions: Associating transcription with known and novel loci

TL;DR: This work uses a number of disparate features to classify the 6988 novel TARs-array expression profiles across cell lines and conditions, sequence composition, phylogenetic profiles (presence/absence of syntenic conservation across 17 species), and locations relative to genes.