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Tomoharu Agata

dblp:87/4749 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2009
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 2

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
2 papers
Bioinformatics and computational biology · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › gene expression analysis
microarray data analysis
0.222009
Model-based analysis of non-specific binding for background correction of high-density oligonucleotide microarrays · Bioinform. 2009
An improved physico-chemical model of hybridization on high-density oligonucleotide microarrays · Bioinform. 2008
Bioinformatics and computational biology › gene expression analysis › microarray data analysis
background correction
0.112009
Model-based analysis of non-specific binding for background correction of high-density oligonucleotide microarrays · Bioinform. 2009
Bioinformatics and computational biology
gene expression analysis
0.112008
An improved physico-chemical model of hybridization on high-density oligonucleotide microarrays · Bioinform. 2008

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

thermodynamic model · 0.1duplex formation model · 0.1secondary structure modeling · 0.1langmuir model extension · 0.1
YearPublicationVenuePosition
2009 Model-based analysis of non-specific binding for background correction of high-density oligonucleotide microarrays
abstract
MOTIVATION: High-density DNA microarrays provide us with useful tools for analyzing DNA and RNA comprehensively. However, the background signal caused by the non-specific binding (NSB) between probe and target makes it difficult to obtain accurate measurements. To remove the background signal, there is a set of background probes on Affymetrix Exon arrays to represent the amount of non-specific signals, and an accurate estimation of non-specific signals using these background probes is desirable for improvement of microarray analyses. RESULTS: We developed a thermodynamic model of NSB on short nucleotide microarrays in which the NSBs are modeled by duplex formation of probes and multiple hypothetical targets. We fitted the observed signal intensities of the background probes with those expected by the model to obtain the model parameters. As a result, we found that the presented model can improve the accuracy of prediction of non-specific signals in comparison with previously proposed methods. This result will provide a useful method to correct for the background signal in oligonucleotide microarray analysis. AVAILABILITY: The software is implemented in the R language and can be downloaded from our website (http://www-shimizu.ist.osaka-u.ac.jp/shimizu_lab/MSNS/).
Chikara Furusawa, Naoaki Ono, Shingo Suzuki, Tomoharu Agata, Hiroshi Shimizu, Tetsuya Yomo
Bioinform.4
2008 An improved physico-chemical model of hybridization on high-density oligonucleotide microarrays
abstract
MOTIVATION: High-density DNA microarrays provide useful tools to analyze gene expression comprehensively. However, it is still difficult to obtain accurate expression levels from the observed microarray data because the signal intensity is affected by complicated factors involving probe-target hybridization, such as non-linear behavior of hybridization, non-specific hybridization, and folding of probe and target oligonucleotides. Various methods for microarray data analysis have been proposed to address this problem. In our previous report, we presented a benchmark analysis of probe-target hybridization using artificially synthesized oligonucleotides as targets, in which the effect of non-specific hybridization was negligible. The results showed that the preceding models explained the behavior of probe-target hybridization only within a narrow range of target concentrations. More accurate models are required for quantitative expression analysis. RESULTS: The experiments showed that finiteness of both probe and target molecules should be considered to explain the hybridization behavior. In this article, we present an extension of the Langmuir model that reproduces the experimental results consistently. In this model, we introduced the effects of secondary structure formation, and dissociation of the probe-target duplex during washing after hybridization. The results will provide useful methods for the understanding and analysis of microarray experiments. AVAILABILITY: The method was implemented for the R software and can be downloaded from our website (http://www-shimizu.ist.osaka-u.ac.jp/shimizu_lab/FHarray/).
Naoaki Ono, Shingo Suzuki, Chikara Furusawa, Tomoharu Agata, Akiko Kashiwagi, Hiroshi Shimizu, Tetsuya Yomo
Bioinform.4