{"title":"宏基因组学:基于k-mer的新方法","authors":"Timothy J. Rozday","doi":"10.1038/s41579-025-01192-9","DOIUrl":null,"url":null,"abstract":"This Genome Watch highlights the advantages and limitations of k-mer approaches versus standard alignment-based methods for analysing metagenomic data, assisting microbial species identification, microbial abundance estimation and their application in pathogen genomic epidemiology.","PeriodicalId":18838,"journal":{"name":"Nature Reviews Microbiology","volume":"23 8","pages":"473-473"},"PeriodicalIF":103.3000,"publicationDate":"2025-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Metagenomics distilled: new k-mer-based methods\",\"authors\":\"Timothy J. Rozday\",\"doi\":\"10.1038/s41579-025-01192-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This Genome Watch highlights the advantages and limitations of k-mer approaches versus standard alignment-based methods for analysing metagenomic data, assisting microbial species identification, microbial abundance estimation and their application in pathogen genomic epidemiology.\",\"PeriodicalId\":18838,\"journal\":{\"name\":\"Nature Reviews Microbiology\",\"volume\":\"23 8\",\"pages\":\"473-473\"},\"PeriodicalIF\":103.3000,\"publicationDate\":\"2025-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature Reviews Microbiology\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://www.nature.com/articles/s41579-025-01192-9\",\"RegionNum\":1,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MICROBIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature Reviews Microbiology","FirstCategoryId":"99","ListUrlMain":"https://www.nature.com/articles/s41579-025-01192-9","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MICROBIOLOGY","Score":null,"Total":0}
This Genome Watch highlights the advantages and limitations of k-mer approaches versus standard alignment-based methods for analysing metagenomic data, assisting microbial species identification, microbial abundance estimation and their application in pathogen genomic epidemiology.
期刊介绍:
At Nature Reviews Microbiology, our goal is to become the leading source of reviews and commentaries for the scientific community we cater to. We are dedicated to publishing articles that are not only authoritative but also easily accessible, supplementing them with clear and concise figures, tables, and other visual aids. Our objective is to offer an unparalleled service to authors, referees, and readers, and we continuously strive to maximize the usefulness and impact of each article we publish. With a focus on Reviews, Perspectives, and Comments spanning the entire field of microbiology, our wide scope ensures that the work we feature reaches the widest possible audience.