The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
KEGG Mapper for inferring cellular functions from protein sequences
Open accessAbstract
KEGG is a reference knowledge base for biological interpretation of large‐scale molecular datasets, such as genome and metagenome sequences. It accumulates experimental knowledge about high‐level functions of the cell and the organism represented in terms of KEGG molecular networks, including KEGG pathway maps, BRITE hierarchies, and KEGG modules. By the process called KEGG mapping, a set of protein coding genes in the genome, for example, can be converted to KEGG molecular networks enabling interpretation of cellular functions and other high‐level features. Here we report a new version of KEGG Mapper, a suite of KEGG mapping tools available at the KEGG website (https://www.kegg.jp/ or https://www.genome.jp/kegg/), together with the KOALA family tools for automatic assignment of KO (KEGG Orthology) identifiers used in the mapping.
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Cites
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Altschul, S. (1997) · Nucleic Acids Research · doi:10.1093/nar/25.17.3389 · Cited by 73,302
Gene Ontology: tool for the unification of biology
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Comparative metagenomics revealed commonly enriched gene sets in human gut microbiomes
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Cited by
KEGG: integrating viruses and cellular organisms
Kanehisa, M., Furumichi, M., Sato, Y., Ishiguro-Watanabe, M., & Tanabe, M. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkaa970 · Cited by 3,436
Self-citationKEGG mapping tools for uncovering hidden features in biological data
Kanehisa, M., Sato, Y., & Kawashima, M. (2022) · Protein Science · doi:10.1002/pro.4172 · Cited by 734
Self-citationNicotinamide mononucleotide production by fructophilic lactic acid bacteria
Sugiyama, K., Iijima, K., Yoshino, M., Dohra, H., Tokimoto, Y., Nishikawa, K., Idogaki, H., & Yoshida, N. (2021) · Scientific Reports · doi:10.1038/s41598-021-87361-1 · Cited by 46
Kim, G.-L., Hooven, T. A., Norambuena, J., Li, B., Boyd, J. M., Yang, J. H., & Parker, D. (2021) · mBio · doi:10.1128/mbio.00814-21 · Cited by 38
Comparative Genomics-Based Probiotic Relevance of Limosilactobacillus fermentum KUB-D18
Phujumpa, P., Muangham, S., Jatuponwiphat, T., Koffas, M., Nakphaichit, M., & Vongsangnak, W. (2022) · Gene · doi:10.1016/j.gene.2022.146747 · Cited by 18
Metadata
- Authors
- Kanehisa, M., & Sato, Y.
- Venue
- Protein Science
- Publisher
- Wiley
- Published
- 2019-08-29
- Volume
- 29
- Issue
- 1
- Pages
- 28-35
- ISSN
- 0961-8368 (ISSN-L)
- 1469-896X
- OpenAlex
- W2969443468
- Cited by
- 1,180
- References
- 3
- FWCI
- 42.82
- Type
- journal article
- Language
- en
- Open access
- bronze
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