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Haruhiko Koseki

dblp:71/2645 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2007
0000-0001-8424-5854ORCID · reported

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 › immunoinformatics
immunogenomics
0.112007
Construction of an open-access database that integrates cross-reference information from the transcriptome and proteome of immune cells · Bioinform. 2007
Bioinformatics and computational biology
proteomics
0.012007
Construction of an open-access database that integrates cross-reference information from the transcriptome and proteome of immune cells · Bioinform. 2007
Bioinformatics and computational biology
transcriptomics
0.012007
Construction of an open-access database that integrates cross-reference information from the transcriptome and proteome of immune cells · Bioinform. 2007

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

two-dimensional gel electrophoresis · 0.1microarray profiling · 0.1mass spectrometry · 0.1
YearPublicationVenuePosition
2007 Construction of an open-access database that integrates cross-reference information from the transcriptome and proteome of immune cells
abstract
MOTIVATION: Although a huge amount of mammalian genomic data does become publicly available, there are still hurdles for biologists to overcome before such data can be fully exploited. One of the challenges for gaining biological insight from genomic data has been the inability to cross-reference transcriptomic and proteomic data using a single informational platform. To address this, we constructed an open-access database that enabled us to cross-reference transcriptomic and proteomic data obtained from immune cells. RESULTS: The database, named RefDIC (Reference genomics Database of Immune Cells), currently contains: (i) quantitative mRNA profiles for human and mouse immune cells/tissues obtained using Affymetrix GeneChip technology; (ii) quantitative protein profiles for mouse immune cells obtained using two-dimensional gel electrophoresis (2-DE) followed by image analysis and mass spectrometry and (iii) various visualization tools to cross-reference the mRNA and protein profiles of immune cells. RefDIC is the first open-access database for immunogenomics and serves as an important information-sharing platform, enabling a focused genomic approach in immunology. AVAILABILITY: All raw data and information can be accessed from http://refdic.rcai.riken.jp/. The microarray data is also available at http://cibex.nig.ac.jp/ under CIBEX accession no. CBX19, and http://www.ebi.ac.uk/pride/ under PRIDE accession numbers 2354-2378 and 2414.
Atsushi Hijikata, Hiroshi Kitamura, Yayoi Kimura, Ryo Yokoyama, Yuichi Aiba, Yanyuan Bao, Shigeharu Fujita, Koji Hase, Shohei Hori, Yasuyuki Ishii, Osami Kanagawa, Hiroshi Kawamoto, Kazuya Kawano, Haruhiko Koseki, Masato Kubo, Ai Kurita-Miki, Tomohiro Kurosaki, Kyoko Masuda, Mitsumasa Nakata, Keisuke Oboki, Hiroshi Ohno, Mariko Okamoto, Yoshimichi Okayama, Jiyang O-Wang, Hirohisa Saito, Takashi Saito, Machie Sakuma, Katsuaki Sato, Kaori Sato, Ken-ichiro Seino, Ruka Setoguchi, Yuki Tamura, Masato Tanaka, Masaru Taniguchi, Ichiro Taniuchi, Annabelle Teng, Takeshi Watanabe, Hiroshi Watarai, Sho Yamasaki, Osamu Ohara
Bioinform.14