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Akira Shinagawa

Researcher at University of Tokyo

Publications -  22
Citations -  4220

Akira Shinagawa is an academic researcher from University of Tokyo. The author has contributed to research in topics: Gene & Arsenobetaine. The author has an hindex of 14, co-authored 22 publications receiving 4088 citations.

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Analysis of the mouse transcriptome based on functional annotation of 60,770 full-length cDNAs

Yasushi Okazaki, +138 more
- 05 Dec 2002 - 
TL;DR: The present work, completely supported by physical clones, provides the most comprehensive survey of a mammalian transcriptome so far, and is a valuable resource for functional genomics.
Journal ArticleDOI

Collection, Mapping, and Annotation of Over 28,000 cDNA Clones from japonica Rice

TL;DR: Mapping of the cDNA clones to genomic DNA revealed that there are 19,000 to 20,500 transcription units in the rice genome, and protein informatics analysis against the InterPro database revealed the existence of proteins presented in rice but not in Arabidopsis.
Journal ArticleDOI

Functional annotation of a full-length mouse cDNA collection

Jun Kawai, +96 more
- 08 Feb 2001 - 
TL;DR: The first RIKEN clone collection is described, which is one of the largest described for any organism and analysis of these cDNAs extends known gene families and identifies new ones.
Journal ArticleDOI

Functional annotation of a full-length Arabidopsis cDNA collection.

TL;DR: The sequence database of the RAFL c DNAs is useful for promoter analysis and correct annotation of predicted transcription units and gene products, and the full-length cDNAs are useful resources for analyses of the expression profiles, functions, and structures of plant proteins.
Journal ArticleDOI

Correlation between sequence conservation of the 5' untranslated region and codon usage bias in Mus musculus genes.

TL;DR: The findings suggest that the extent of conservation in the flanking sequence of the initiator ATG codon including Kozak's consensus sequence was an important factor in modulation of the translation efficiency as well as synonymous codon usage bias particularly in highly expressed genes.