Toward understanding the origin and evolution of cellular organisms

In this era of high‐throughput biology, bioinformatics has become a major discipline for making sense out of large‐scale datasets. Bioinformatics is usually considered as a practical field developing databases and software tools for supporting other fields, rather than a fundamental scientific discipline for uncovering principles of biology. The KEGG resource that we have been developing is a reference knowledge base for biological interpretation of genome sequences and other high‐throughput data. It is now one of the most utilized biological databases because of its practical values. For me personally, KEGG is a step toward understanding the origin and evolution of cellular organisms.

• Publication year

  2019

• Venue

  Protein Science

• Publication date

  2019-11-01

• Fields of study

  Biology, Medicine, Computer Science

• Identifiers
  DOI 10.1002/pro.3715PMID 31441146PMCID PMC6798127
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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