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Nobuo Ogawa

Researcher at Lawrence Berkeley National Laboratory

Publications -  6
Citations -  660

Nobuo Ogawa is an academic researcher from Lawrence Berkeley National Laboratory. The author has contributed to research in topics: Systematic evolution of ligands by exponential enrichment & Transcription factor. The author has an hindex of 5, co-authored 6 publications receiving 635 citations.

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Journal ArticleDOI

Transcription factors bind thousands of active and inactive regions in the Drosophila blastoderm.

TL;DR: Surprisingly, for five of the six factors, their recognition sites are not unambiguously more constrained evolutionarily than the immediate flanking DNA, even in more highly bound and presumably functional regions, indicating that comparative DNA sequence analysis is limited in its ability to identify functional transcription factor targets.
Journal ArticleDOI

Rearrangements of 2.5 kilobases of noncoding DNA from the Drosophila even-skipped locus define predictive rules of genomic cis-regulatory logic.

TL;DR: The model demonstrated that elevated expression driven by a fusion of MSE2 and MSE3 was a consequence of the recruitment of a portion of Mse3 to become a functional component of M SE2, demonstrating that cis-regulatory “elements” are not elementary objects.
Book ChapterDOI

High-throughput SELEX determination of DNA sequences bound by transcription factors in vitro.

TL;DR: A robust version of the SELEX protocol is presented for high-throughput analysis, providing a powerful way to determine the in vitro binding specificities of DNA-binding proteins such as transcription factors.
Journal ArticleDOI

A model for sequential evolution of ligands by exponential enrichment (SELEX) data

TL;DR: The SELEX model outperformed other published methods for predicting putative binding sites for Bicoid as indicated by the results of an in-vivo ChIP-chip experiment.
Journal ArticleDOI

A model for sequential evolution of ligands by exponential enrichment (SELEX) data

TL;DR: In this paper, a biochemical parametrization of SELEX data is presented to estimate the affinities of the oligonucleotides and aligns them with the target.