リケラボ論文検索は、全国の大学リポジトリにある学位論文・教授論文を一括検索できる論文検索サービスです。

リケラボ 全国の大学リポジトリにある学位論文・教授論文を一括検索するならリケラボ論文検索大学・研究所にある論文を検索できる

リケラボ 全国の大学リポジトリにある学位論文・教授論文を一括検索するならリケラボ論文検索大学・研究所にある論文を検索できる

大学・研究所にある論文を検索できる 「KEGG for taxonomy-based analysis of pathways and genomes」の論文概要。リケラボ論文検索は、全国の大学リポジトリにある学位論文・教授論文を一括検索できる論文検索サービスです。

コピーが完了しました

URLをコピーしました

論文の公開元へ論文の公開元へ
書き出し

KEGG for taxonomy-based analysis of pathways and genomes

Kanehisa, Minoru Furumichi, Miho Sato, Yoko Kawashima, Masayuki Ishiguro-Watanabe, Mari 京都大学 DOI:10.1093/nar/gkac963

2023.01.06

概要

KEGG (https://www.kegg.jp) is a manually curated database resource integrating various biological objects categorized into systems, genomic, chemical and health information. Each object (database entry) is identified by the KEGG identifier (kid), which generally takes the form of a prefix followed by a five-digit number, and can be retrieved by appending /entry/kid in the URL. The KEGG pathway map viewer, the Brite hierarchy viewer and the newly released KEGG genome browser can be launched by appending /pathway/kid, /brite/kid and /genome/kid, respectively, in the URL. Together with an improved annotation procedure for KO (KEGG Orthology) assignment, an increasing number of eukaryotic genomes have been included in KEGG for better representation of organisms in the taxonomic tree. Multiple taxonomy files are generated for classification of KEGG organisms and viruses, and the Brite hierarchy viewer is used for taxonomy mapping, a variant of Brite mapping in the new KEGG Mapper suite. The taxonomy mapping enables analysis of, for example, how functional links of genes in the pathway and physical links of genes on the chromosome are conserved among organism groups.

この論文で使われている画像

参考文献

1. Kanehisa,M., Furumichi,M., Sato,Y., Ishiguro-Watanabe,M. and

Tanabe,M. (2021) KEGG: integrating viruses and cellular organisms.

Nucleic Acids Res., 49, D545–D551.

2. Kanehisa,M., Sato,Y. and Kawashima,M. (2022) KEGG mapping

tools for uncovering hidden features in biological data. Protein Sci.,

31, 47–53.

3. Kanehisa,M. (2019) Toward understanding the origin and evolution

of cellular organisms. Protein Sci., 28, 1947–1951.

4. Fleischmann,R.D., Adams,M.D., White,O., Clayton,R.A.,

Kirkness,E.F., Kerlavage,A.R., Bult,C.J., Tomb,J.F., Dougherty,B.A.,

Merrick,J.M. et al. (1995) Whole-genome random sequencing and

assembly of haemophilus influenzae rd. Science269, 496–512.

5. Sayers,E.W., Beck,J., Bolton,E.E., Bourexis,D., Brister,J.R.,

Canese,K., Comeau,D.C., Funk,K., Kim,S., Klimke,W. et al. (2022)

Database resources of the national center for biotechnology

information. Nucleic Acids Res., 50, D20–D26.

6. O’Leary,N.A., Wright,M.W., Brister,J.R., Ciufo,S., Haddad,D.,

McVeigh,R., Rajput,B., Robbertse,B., Smith-White,B., Ako-Adjei,D.

et al. (2016) Reference sequence (RefSeq) database at NCBI: current

status, taxonomic expansion, and functional annotation. Nucleic

Acids Res., 44, D733–D745.

7. Sayers,E.W., Cavanaugh,M., Clark,K., Pruitt,K.D., Schoch,C.L.,

Sherry,S.T. and Karsch-Mizrachi,I. (2022) GenBank. Nucleic Acids

Res., 50, D161–D164.

8. Federhen,S. (2012) The NCBI taxonomy database. Nucleic Acids

Res., 40, D136–D143.

9. Lefkowitz,E.J., Dempsey,D.M., Hendrickson,R.C., Orton,R.J.,

Siddell,S.G. and Smith,D.B. (2018) Virus taxonomy: the database of

the international committee on taxonomy of viruses (ICTV). Nucleic

Acids Res., 46, D708–D717.

10. Kitts,P.A., Church,D.M., Thibaud-Nissen,F., Choi,J., Hem,V.,

Sapojnikov,V., Smith,R.G., Tatusova,T., Xiang,C., Zherikov,A. et al.

(2016) Assembly: a resource for assembled genomes at NCBI. Nucleic

Acids Res., 44, D73–D80.

Downloaded from https://academic.oup.com/nar/article/51/D1/D587/6775388 by KYOTO UNIVERSITY Igaku Toshokan user on 05 October 2023

Future plan for viral perturbations

DATA AVAILABILITY

...

参考文献をもっと見る

全国の大学の
卒論・修論・学位論文

一発検索!

この論文の関連論文を見る