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Hongseok Tae

Researcher at Virginia Bioinformatics Institute

Publications -  32
Citations -  1181

Hongseok Tae is an academic researcher from Virginia Bioinformatics Institute. The author has contributed to research in topics: Genome & Gene. The author has an hindex of 15, co-authored 32 publications receiving 1108 citations. Previous affiliations of Hongseok Tae include Naver Corporation & Virginia Tech.

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Draft genome sequence and genetic transformation of the oleaginous alga Nannochloropis gaditana.

TL;DR: It is shown that N. gaditana has highly favourable lipid yields, and is a promising production organism, and the availability of a genome sequence and transformation methods will facilitate investigations into N. Gaditana lipid biosynthesis and permit genetic engineering strategies to further improve this naturally productive alga.
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Corrigendum: Draft genome sequence and genetic transformation of the oleaginous alga Nannochloropsis gaditana

TL;DR: The genome sequence and genetic transformation of the oleaginous alga Nannochloropsis gaditana are described, and the proposed “gene-by-gene correspondence” describes the “cell reprograming” of the GANs into “cells” and “plaques” that secrete non-volatile substance called “ghostly RNA” during cell division.
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Genome-wide DNA methylation analysis reveals novel epigenetic changes in chronic lymphocytic leukemia.

TL;DR: The NFATc1 P2 promoter and first intron was found to be hypomethylated and correlated with upregulation of both NFAT c1 RNA and protein expression levels in CLL suggesting that an epigenetic mechanism is involved in the constitutive activation of NFAT activity inCLL cells.
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A garter snake transcriptome: pyrosequencing, de novo assembly, and sex-specific differences

TL;DR: This resource provides the most comprehensive set of EST sequences available for an individual ectothermic reptile species, increasing the number of snake ESTs 50-fold and identifying genes that appear to be under evolutionary selection and those that are sex-specific.
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ASMPKS: an analysis system for modular polyketide synthases

TL;DR: A system named ASMPKS (Analysis System for Modular Polyketide Synthesis) for computational analysis of PKSs against genome sequences, which can predict functional modules for a protein sequence submitted by users, estimate the chemical composition of a polyketide synthesized from the modules, and display the carbon chain structure on the web interface.