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However, these advances have not directly transferred to metagenomic data sets, as assumptions made by the single genome assembly algorithms do not apply when assembling multiple genomes at varying levels of abundance. The development of dedicated assemblers for metagenomic data was a relatively late innovation and for many years, researchers had to make do using tools designed for single genomes. This has changed in the last few years and we have seen the emergence of a new type of tool built using different principles. In this review, we describe the challenges inherent in metagenomic assemblies and compare the different approaches taken by these novel assembly tools.<\/jats:p>","DOI":"10.1093\/bib\/bbz020","type":"journal-article","created":{"date-parts":[[2019,2,4]],"date-time":"2019-02-04T20:14:36Z","timestamp":1549311276000},"page":"584-594","source":"Crossref","is-referenced-by-count":201,"title":["New approaches for metagenome assembly with short reads"],"prefix":"10.1093","volume":"21","author":[{"given":"Martin","family":"Ayling","sequence":"first","affiliation":[{"name":"Earlham Institute, Norwich Research Park, Norwich, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Matthew D","family":"Clark","sequence":"additional","affiliation":[{"name":"Natural History Museum, London, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3044-4297","authenticated-orcid":false,"given":"Richard 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