Inferring Antimicrobial Resistance from Pathogen Genomes in KEGG
Inferring Antimicrobial Resistance from Pathogen Genomes in KEGG
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DOI：
10.1007/978-1-4939-8561-6_17
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发表时间：
2018-01-01
期刊：
影响因子：
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通讯作者：
Kanehisa, Minoru
中科院分区：
文献类型：
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作者：
Kanehisa, Minoru
KEGG数据库被广泛用作基因组序列和其他高通量数据的生物学解释的参考知识库。它包含KEGG通路图和BRITE层次（本体），代表细胞和生物体的高级系统功能。通过称为通路作图和BRITE作图的过程，基因组中编码的信息，特别是基因库，被转换为这种高水平的功能信息。这种通用的方法可以应用于微生物基因组来推断抗生素耐药性（AMR），这正在成为全球公共卫生的日益严重的威胁。在这里，我们介绍了如何在KEGG病原体资源中积累AMR知识，以及BlastKOALA和其他网络工具如何利用这些知识。
The KEGG database is widely used as a reference knowledge base for biological interpretation of genome sequences and other high-throughput data. It contains, among others, KEGG pathway maps and BRITE hierarchies (ontologies) representing high-level systemic functions of the cell and the organism. By the processes called pathway mapping and BRITE mapping, information encoded in the genome, especially the repertoire of genes, is converted to such high-level functional information. This general methodology can be applied to microbial genomes to infer antimicrobial resistance (AMR), which is becoming an increasingly serious threat to the global public health. Here we present how knowledge on AMR is accumulated in the KEGG Pathogen resource and how such knowledge can be utilized by BlastKOALA and other web tools.