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Minoru Kanehisa
Minoru Kanehisa
Professor, Institute for Chemical Research, Kyoto University
Verified email at kuicr.kyoto-u.ac.jp - Homepage
Title
Cited by
Cited by
Year
KEGG: kyoto encyclopedia of genes and genomes
M Kanehisa, S Goto
Nucleic acids research 28 (1), 27-30, 2000
335032000
KEGG: new perspectives on genomes, pathways, diseases and drugs
M Kanehisa, M Furumichi, M Tanabe, Y Sato, K Morishima
Nucleic acids research 45 (D1), D353-D361, 2017
77312017
KEGG for linking genomes to life and the environment
M Kanehisa, M Araki, S Goto, M Hattori, M Hirakawa, M Itoh, T Katayama, ...
Nucleic acids research 36 (suppl_1), D480-D484, 2007
67032007
KEGG as a reference resource for gene and protein annotation
M Kanehisa, Y Sato, M Kawashima, M Furumichi, M Tanabe
Nucleic acids research 44 (D1), D457-D462, 2016
64262016
KEGG: Kyoto encyclopedia of genes and genomes
H Ogata, S Goto, K Sato, W Fujibuchi, H Bono, M Kanehisa
Nucleic acids research 27 (1), 29-34, 1999
54641999
The KEGG resource for deciphering the genome
M Kanehisa, S Goto, S Kawashima, Y Okuno, M Hattori
Nucleic acids research 32 (suppl_1), D277-D280, 2004
52952004
KEGG for integration and interpretation of large-scale molecular data sets
M Kanehisa, S Goto, Y Sato, M Furumichi, M Tanabe
Nucleic acids research 40 (D1), D109-D114, 2012
52532012
KAAS: an automatic genome annotation and pathway reconstruction server
Y Moriya, M Itoh, S Okuda, AC Yoshizawa, M Kanehisa
Nucleic acids research 35 (suppl_2), W182-W185, 2007
39862007
From genomics to chemical genomics: new developments in KEGG
M Kanehisa, S Goto, M Hattori, KF Aoki-Kinoshita, M Itoh, S Kawashima, ...
Nucleic acids research 34 (suppl_1), D354-D357, 2006
36952006
Data, information, knowledge and principle: back to metabolism in KEGG
M Kanehisa, S Goto, Y Sato, M Kawashima, M Furumichi, M Tanabe
Nucleic acids research 42 (D1), D199-D205, 2014
34072014
BlastKOALA and GhostKOALA: KEGG tools for functional characterization of genome and metagenome sequences
M Kanehisa, Y Sato, K Morishima
Journal of molecular biology 428 (4), 726-731, 2016
31962016
Toward understanding the origin and evolution of cellular organisms
M Kanehisa
Protein Science 28 (11), 1947-1951, 2019
28792019
KEGG: integrating viruses and cellular organisms
M Kanehisa, M Furumichi, Y Sato, M Ishiguro-Watanabe, M Tanabe
Nucleic acids research 49 (D1), D545-D551, 2021
28072021
KEGG for representation and analysis of molecular networks involving diseases and drugs
M Kanehisa, S Goto, M Furumichi, M Tanabe, M Hirakawa
Nucleic acids research 38 (suppl_1), D355-D360, 2010
26322010
Whole genome sequencing of meticillin-resistant Staphylococcus aureus
M Kuroda, T Ohta, I Uchiyama, T Baba, H Yuzawa, I Kobayashi, L Cui, ...
The Lancet 357 (9264), 1225-1240, 2001
26182001
KEGG for taxonomy-based analysis of pathways and genomes
M Kanehisa, M Furumichi, Y Sato, M Kawashima, M Ishiguro-Watanabe
Nucleic acids research 51 (D1), D587-D592, 2023
23852023
A knowledge base for predicting protein localization sites in eukaryotic cells
K Nakai, M Kanehisa
Genomics 14 (4), 897-911, 1992
18571992
The KEGG databases at GenomeNet
M Kanehisa, S Goto, S Kawashima, A Nakaya
Nucleic acids research 30 (1), 42-46, 2002
17902002
New approach for understanding genome variations in KEGG
M Kanehisa, Y Sato, M Furumichi, K Morishima, M Tanabe
Nucleic acids research 47 (D1), D590-D595, 2019
17872019
The KEGG database
M Kanehisa
‘In silico’simulation of biological processes: Novartis Foundation Symposium …, 2002
13272002
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