ArticleGenes2023
KEGG_Extractor: An Effective Extraction Tool for KEGG Orthologs.
Article in Genes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Microbial diversity, antimicrobial resistance and zoonotic implications of the reptile gut microbiota: an updated review.Frontiers in microbiology · 2026Review
- Altered GABA and secondary bile acids in Guillain-Barré syndrome: association with gut dysbiosis.Frontiers in immunology · 2026Article
- Epidemiology, antimicrobial resistance transmission, and One Health-based prevention of non-typhoidalFrontiers in microbiology · 2026Review
- Characterization and whole-genome sequencing data of a highly pathogenic group BData in brief · 2025Article
- The Mi- 1 gene is a key regulator of defence mechanisms and cellular gene dynamics in response to root-knot nematodes.Plant cell reports · 2025Article
- Effects of hormone-primed oviduct epithelial cell co-culture system on swine SCNT embryo development.Frontiers in cell and developmental biology · 2025Article
- Characterization the microbial diversity and metabolites of four varieties of Dry-Cured ham in western Yunnan of China.Food chemistry: X · 2024Article
- Small RNA-Seq to Unveil the miRNA Expression Patterns and Identify the Target Genes inPlants (Basel, Switzerland) · 2023Article
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Authors and funding
4 authors.
Funding
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Abstract
The KEGG Orthology (KO) database is a widely used molecular function reference database which can be used to conduct functional annotation of most microorganisms. At present, there are many KEGG tools based on the KO entries for annotating functional orthologs. However, determining how to efficiently extract and sort the annotation results of KEGG still hinders the subsequent genome analysis. There is a lack of effective measures used to quickly extract and classify the gene sequences and species information of the KEGG annotations. Here, we present a supporting tool: KEGG_Extractor for species-specific genes extraction and classification, which can output the results through an iterative keyword matching algorithm. It can not only extract and classify the amino acid sequences, but also the nucleotide sequences, and it has proved to be fast and efficient for microbial analysis. Analysis of the ancient Wood Ljungdahl (WL) pathway through the KEGG_Extractor reveals that ~226 archaeal strains contained the WL pathway-related genes. Most of them were
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