Nobuyoshi Sugaya
University of Tokyo
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Publication
Featured researches published by Nobuyoshi Sugaya.
Bioinformatics | 2004
Sachiyo Aburatani; Kousuke Goto; Shigeru Saito; Masaki Fumoto; Akira Imaizumi; Nobuyoshi Sugaya; Hiroo Murakami; Makihiko Sato; Hiroyuki Toh; Katsuhisa Horimoto
UNLABELLED We constructed a website for inferring a network by applying the graphical Gaussian model, from a large amount of data, including redundant information. The available tools on the website are based on a system, named ASIAN (Automatic System for Inferring A Network), in combination with the two methods in our previous papers, which were designed to analyze gene expression profiles on a genomic scale. One of the remarkable features of the website is its ability to infer a network, concomitant with hierarchical clustering and the following estimation of cluster boundaries. AVAILABILITY http://eureka.ims.u-tokyo.ac.jp/asian
Journal of Molecular Evolution | 2002
Nobuyoshi Sugaya; Jinya Otsuka
The base-pair changes in the stem regions of ribosomal RNAs provide a useful measure for resolving the phylogeny of organisms. In the present study, how the biased base-pair content influences the estimation of evolutionary distances is theoretically investigated. By regarding the biased base-pair content as a result of the difference in selective strength between A:U and G:C base pairs, the evolutionary distance empirically obtained by enumerating base-pair changes is theoretically expressed in terms of selective strength, base-pair change rate, and divergence time. Its application to nuclear-coded large subunit ribosomal RNAs (LSU rRNAs) reveals the followings. LSU rRNAs from most organisms have moderate base-pair contents and the empirical evolutionary distances obtained by the comparison of these LSU rRNAs are approximately proportional to their divergence times. In the comparison of these moderate LSU rRNAs with the GC-rich LSU rRNAs such as those from Mycoplasma, Crenarchaeota, and Giardia, however, the empirically calculated distances are considerably smaller than the true evolutionary distances, while the comparison with AU-rich LSU rRNAs from Microsporidia overestimates their distances. With this result in mind, the relative base-pair change probabilities among three kingdoms are carefully estimated from the statistical distribution of base-pair change ratios enumerated for LSU rRNAs showing almost the same base-pair contents, leading to the result that prokaryotes and eukaryotes first diverged and that archaebacteria and eubacteria diverged on the line of prokaryotes slightly later, by about 0.3 billion years.
Genome Informatics | 2004
Nobuyoshi Sugaya; Makihiko Sato; Hiroo Murakami; Akira Imaizumi; Sachiyo Aburatani; Katsuhisa Horimoto
Archive | 2004
Nobuyoshi Sugaya; Masahiko Sato; Hirokazu Murakami; Akira Imaizumi; Sachiyo Aburatani; Katsuhisa Horimoto
Journal of Theoretical Biology | 2001
Jinya Otsuka; Yosuke Kawai; Nobuyoshi Sugaya
Genome Informatics | 2003
Sachiyo Aburatani; Nobuyoshi Sugaya; Hiroo Murakami; Makihiko Sato; Katsuhisa Horimoto
Genome Informatics | 2003
Katsuhisa Horimoto; Hiroyuki Toh; Sachiyo Aburatani; Nobuyoshi Sugaya; Hiroo Murakami; Makihiko Sato; Shigeru Saito; Kousuke Goto; Masaki Fumoto
Genome Informatics | 2003
Hiroo Murakami; Natsuhiro Ichinose; Tetsushi Yada; Sachiyo Aburatani; Nobuyoshi Sugaya; Makihiko Sato; Katsuhisa Horimoto
Genome Informatics | 2003
Makihiko Sato; Nobuyoshi Sugaya; Hiroo Murakami; Sachiyo Aburatani; Katsuhisa Horimoto
Genome Informatics | 2003
Nobuyoshi Sugaya; Hiroo Murakami; Makihiko Satoh; Sachiyo Aburatani; Katsuhisa Horimoto
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National Institute of Advanced Industrial Science and Technology
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