KEGG Mark-up Language
Abbreviation: KGML
Homepage http://www.genome.jp/kegg/xml/
Countries that developed this resource Germany , Japan
Taxonomic range
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Subjects
How to cite this record FAIRsharing.org: KGML; KEGG Mark-up Language; DOI: https://doi.org/10.25504/FAIRsharing.h6c48k; Last edited: Jan. 8, 2019, 1:37 p.m.; Last accessed: Mar 05 2021 11:04 p.m.
Record updated: March 15, 2018, 10:13 a.m. by The FAIRsharing Team.
No XSD schemas defined
KEGGtranslator: visualizing and converting the KEGG PATHWAY database to various formats.
Wrzodek C,Drager A,Zell A
Bioinformatics 2011
Reporting Guidelines
No guidelines defined
Terminology Artifacts
No semantic standards defined
Models and Formats
Identifier Schemas
No identifier schema standards defined
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No metrics standards defined
iPAVS provides a collection of highly-structured manually curated human pathway data, it also integrates biological pathway information from several public databases and provides several tools to manipulate, filter, browse, search, analyze, visualize and compare the integrated pathway resources.
Genome-wide Integrated Analysis of gene Networks in Tissues 2.0
GIANT2 (Genome-wide Integrated Analysis of gene Networks in Tissues) is an interactive web server that enables biomedical researchers to analyze their proteins and pathways of interest and generate hypotheses in the context of genome-scale functional maps of human tissues. With GIANT2, researchers can explore predicted tissue-specific functional roles of genes and reveal changes in those roles across tissues, all through interactive multi-network visualizations and analyses.
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