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KEGG Mapper for inferring cellular functions from protein sequences
1Institute for Chemical Research, Kyoto University, Uji, Kyoto, Japan.
Protein Science : a Publication of the Protein Society
|August 20, 2019
Summary
KEGG Mapper provides updated tools for interpreting large biological datasets by mapping genes to molecular networks. This facilitates understanding cellular functions and organism-level features using KEGG Orthology identifiers.
Area of Science:
- Bioinformatics
- Systems Biology
- Genomics
Background:
- KEGG (Kyoto Encyclopedia of Genes and Genomes) is a vital resource for interpreting large-scale molecular data.
- It integrates experimental knowledge into molecular networks, including pathways, hierarchies, and modules.
- KEGG mapping translates genomic data into these networks for functional interpretation.
Purpose of the Study:
- To introduce a new version of KEGG Mapper, a suite of tools for KEGG mapping.
- To present KOALA family tools for automatic assignment of KEGG Orthology (KO) identifiers.
Main Methods:
- KEGG mapping utilizes gene sets to generate KEGG molecular networks.
- KOALA tools automate the assignment of KEGG Orthology identifiers.
- The updated KEGG Mapper is accessible via the KEGG website.
Main Results:
- A new version of KEGG Mapper is now available.
- Enhanced tools facilitate the interpretation of large-scale molecular datasets.
- Automatic KO assignment is streamlined with KOALA tools.
Conclusions:
- The updated KEGG Mapper and KOALA tools improve the biological interpretation of genomic and metagenomic data.
- These resources enhance the understanding of cellular and organism-level functions.
- KEGG continues to be a cornerstone for biological data analysis.
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