ArticleBioinformatics (Oxford, England)2011
KEGGtranslator: visualizing and converting the KEGG PATHWAY database to various formats.
Article in Bioinformatics (Oxford, England), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
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Who cites it
36 citing papers in PubMed.
- Article
- Article
- Exploring the relationship between sepsis and Golgi apparatus dysfunction: bioinformatics insights and diagnostic marker discovery.Frontiers in genetics · 2025Article
- KNeXT: a NetworkX-based topologically relevant KEGG parser.Frontiers in genetics · 2024Article
- CytoCopasi: a chemical systems biology target and drug discovery visual data analytics platform.Bioinformatics (Oxford, England) · 2023Article
- PSF toolkit: an R package for pathway curation and topology-aware analysis.Frontiers in genetics · 2023Article
- Neighborhood-based inference and restricted Boltzmann machine for microbe and drug associations prediction.PeerJ · 2022Article
- Screening of ferroptosis-related genes in sepsis-induced liver failure and analysis of immune correlation.PeerJ · 2022Article
- Long noncoding RNA GSEC promotes neutrophil inflammatory activation by supporting PFKFB3-involved glycolytic metabolism in sepsis.Cell death & disease · 2021Article
- KEGG2Net: Deducing gene interaction networks and acyclic graphs from KEGG pathways.EMBnet.journal · 2021Article
- Closing the gap between formats for storing layout information in systems biology.Briefings in bioinformatics · 2020Article
- Screening and identification of key gene in sepsis development: Evidence from bioinformatics analysis.Medicine · 2020Article
- Ubiquitylomes Analysis of the Whole blood in Postmenopausal Osteoporosis Patients and healthy Postmenopausal Women.Orthopaedic surgery · 2019Article
- PathMe: merging and exploring mechanistic pathway knowledge.BMC bioinformatics · 2019Article
- Harmonizing semantic annotations for computational models in biology.Briefings in bioinformatics · 2019Review
- Gene Annotation Easy Viewer (GAEV): Integrating KEGG's Gene Function Annotations and Associated Molecular Pathways.F1000Research · 2018Article
- Predicted molecular targets and pathways for germacrone, curdione, and furanodiene in the treatment of breast cancer using a bioinformatics approach.Scientific reports · 2017Article
- Path2enet: generation of human pathway-derived networks in an expression specific context.BMC genomics · 2016Article
- Enrichment of Fusobacteria in Sea Surface Oil Slicks from the Deepwater Horizon Oil Spill.Microorganisms · 2016Article
- Reconstruction of the Fatty Acid Biosynthetic Pathway of Exiguobacterium antarcticum B7 Based on Genomic and Bibliomic Data.BioMed research international · 2016Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
summaryThe KEGG PATHWAY database provides a widely used service for metabolic and nonmetabolic pathways. It contains manually drawn pathway maps with information about the genes, reactions and relations contained therein. To store these pathways, KEGG uses KGML, a proprietary XML-format. Parsers and translators are needed to process the pathway maps for usage in other applications and algorithms. We have developed KEGGtranslator, an easy-to-use stand-alone application that can visualize and convert KGML formatted XML-files into multiple output formats. Unlike other translators, KEGGtranslator supports a plethora of output formats, is able to augment the information in translated documents (e.g. MIRIAM annotations) beyond the scope of the KGML document, and amends missing components to fragmentary reactions within the pathway to allow simulations on those. AVAILABILITY: KEGGtranslator is freely available as a Java(™) Web Start application and for download at http://www.cogsys.cs.uni-tuebingen.de/software/KEGGtranslator/. KGML files can be downloaded from within the application. CONTACT: clemens.wrzodek@uni-tuebingen.de SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.