Smith, Rebecca LouiseGlendinning, LauraWalker, AlanWatson, Mick2022-10-022022-10-022022-11-18Smith, R L, Glendinning, L, Walker, A & Watson, M 2022, 'Investigating the impact of database choice on the accuracy of metagenomic read classification for the rumen microbiome', Animal Microbiome, vol. 4, 57. https://doi.org/10.1186/s42523-022-00207-72524-4671ORCID: /0000-0001-5099-8495/work/123848333https://hdl.handle.net/2164/19264The Roslin Institute forms part of the Royal (Dick) School of Veterinary Studies, University of Edinburgh. This project was supported by the Biotechnology and Biological Sciences Research Council (BBSRC; BB/S006680/1, BB/R015023/1), including institute strategic program grant BBS/E/D/30002276. R.H.S. is supported by an EASTBIO studentship funded by BBSRC (BB/M010996/1). A.W.W. and the Rowett Institute receive core financial support from the Scottish Government Rural and Environmental Sciences and Analytical Services (SG-RESAS). We would like to thank all of those who were involved in creating and publicly sharing both the Hungate Collection data and the RUG data.3667530engMetagenome-assembled genomesMetagenomeRumenMicrobiomeReference databasesRead classificationTaxonomyR MedicineBiotechnology and Biological Sciences Research Council (BBSRC)BB/S006680/1BB/R015023/1BBS/E/D/30002276BB/M010996/1Rural and Environmental Science and Analytical Services (RESAS)RInvestigating the impact of database choice on the accuracy of metagenomic read classification for the rumen microbiomeJournal article10.1186/s42523-022-00207-74