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Kay Tatsuoka

dblp:09/1424 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2006
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
epigenomics
0.112006
Histone acetylation and transcriptional regulation in the genome of Saccharomyces cerevisiae · Bioinform. 2006
Bioinformatics and computational biology › gene regulation
gene regulation analysis
0.112006
Histone acetylation and transcriptional regulation in the genome of Saccharomyces cerevisiae · Bioinform. 2006
Bioinformatics and computational biology › gene regulation › transcription factor binding
transcription factor binding analysis
0.112006
Histone acetylation and transcriptional regulation in the genome of Saccharomyces cerevisiae · Bioinform. 2006

Methods — techniques the papers use, named apart from their topics

principal component analysis · 0.1clustering · 0.1canonical correlation analysis · 0.1
YearPublicationVenuePosition
2006 Histone acetylation and transcriptional regulation in the genome of Saccharomyces cerevisiae
abstract
MOTIVATION: In eukaryotic genomes, histone acetylation and thereafter departure from the chromatin are essential for gene transcription initiation. Because gene transcription is tightly regulated by transcription factors, there are some speculations on the cooperation of histone acetylation and transcription factor binding. However, systematic statistical analyses of this relationship on a genomic scale have not been reported. RESULTS: We apply several statistical methods to explore this relationship on two recent genomic datasets: acetylation levels on 11 histone lysines and binding activities of 203 transcription factors, both in promoter regions across the yeast genome. By canonical correlation analysis, we find that a histone acetylation pattern is correlated with a certain profile of transcription factor binding in the genome. Furthermore, after clustering the genes by their acetylation levels on the 11 histone lysines, the genes within clusters show distinct transcription factor binding profiles, as discovered by principle component analysis. Even after applying fairly stringent statistical measurement, most of these clusters have transcription factors with binding activities significantly deviated from the overall genome. We conclude that in the yeast genome, there is a strong correlation between histone acetylation and transcription factor binding in the promoter regions.
Kay Tatsuoka, Rongxiang Liu
Bioinform.2