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Eurie L. Hong

Researcher at Stanford University

Publications -  44
Citations -  12355

Eurie L. Hong is an academic researcher from Stanford University. The author has contributed to research in topics: ENCODE & Genome. The author has an hindex of 24, co-authored 40 publications receiving 10616 citations. Previous affiliations of Eurie L. Hong include University of Cambridge & Princeton University.

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Gene ontology annotations and resources

Judith A. Blake, +134 more
TL;DR: The Gene Ontology (GO) Consortium is a community-based bioinformatics resource that classifies gene product function through the use of structured, controlled vocabularies and has been expanded not only to cover new areas of biology through focused interaction with experts, but also to capture greater specificity in all areas of the ontology.
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ENCODE data at the ENCODE portal

TL;DR: This phase of the ENCODE project includes an expansion of assays that measure diverse RNA populations, identify proteins that interact with RNA and DNA, probe regions of DNA hypersensitivity, and measure levels of DNA methylation in a wide range of cell and tissue types to identify putative regulatory elements.
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Saccharomyces Genome Database (SGD) provides tools to identify and analyze sequences from Saccharomyces cerevisiae and related sequences from other organisms.

TL;DR: The Saccharomyces Genome Database has recently developed several new resources that allow the comparison and integration of information on a genome-wide scale, enabling the user not only to find detailed information about individual genes, but also to make connections across groups of genes with common features and across different species.
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YeastMine--an integrated data warehouse for Saccharomyces cerevisiae data as a multipurpose tool-kit.

TL;DR: YeastMine is a multifaceted search and retrieval environment that provides access to diverse data types and offers multiple scenarios in which it can be used such as a powerful search interface, a discovery tool, a curation aid and also a complex database presentation format.