KEGG: new perspectives on genomes, pathways, diseases and drugs

Minoru Kanehisa, Miho Furumichi, Mao Tanabe, +2

Nucleic Acids Research

EngineeringGeneticsDatabasesMolecular BiologyGenomics +15

KEGG as a reference resource for gene and protein annotation

Minoru Kanehisa, Yoko Sato, Masayuki Kawashima, +2

Nucleic Acids Research

Protein AnnotationGeneticsGenomicsGene RecognitionBioinformatics Database +15

KEGG: integrating viruses and cellular organisms

Minoru Kanehisa, Miho Furumichi, Yoko Sato, +2

Nucleic Acids Research

Viral ReplicationEngineeringSynthetic VirologyGeneticsMolecular Biology +18

Data, information, knowledge and principle: back to metabolism in KEGG

Minoru Kanehisa, Susumu Goto, Yoko Sato, +3

Nucleic Acids Research

EngineeringGeneticsMolecular BiologyMetabolic NetworksGenomics +24

KEGG for representation and analysis of molecular networks involving diseases and drugs

Minoru Kanehisa, Susumu Goto, Miho Furumichi, +2

Nucleic Acids Research

EngineeringKegg Database ResourceMolecular BiologyNetwork AnalysisKegg Drug Database +20

New approach for understanding genome variations in KEGG

Minoru Kanehisa, Yoko Sato, Miho Furumichi, +2

Nucleic Acids Research

Genome VariationsEngineeringGeneticsKegg NetworkGenomics +15

Spatiotemporal Dynamics of Inositol 1,4,5-Trisphosphate That Underlies Complex Ca ²⁺ Mobilization Patterns

Kenzo Hirose, Shiro Kadowaki, Mao Tanabe, +2

Science

Using the KEGG Database Resource

Mao Tanabe, Minoru Kanehisa

Current Protocols in Bioinformatics

Enzymatic production of RNAi libraries from cDNAs

Daisuke Shirane, Kohtaroh Sugao, Shigeyuki Namiki, +3

Nature Genetics

BiosynthesisEngineeringRna Structure PredictionRnai LibrariesSynthetic Biology +3

Predicting Keratoconus Progression and Need for Corneal Crosslinking Using Deep Learning

Naoko Kato, Hiroki Masumoto, Mao Tanabe, +5

Journal of Clinical Medicine