Removal of false positives in metagenomics-based taxonomy profiling via targeting Type IIB restriction sites.
Removal of false positives in metagenomics-based taxonomy profiling via targeting Type IIB restriction sites.
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DOI:
10.1038/s41467-023-41099-8
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发表时间:
2023-09-01
影响因子:
16.6
通讯作者:
Liu, Yang-Yu
中科院分区:
文献类型:
--
作者:
Sun, Zheng;Liu, Jiang;Zhang, Meng;Wang, Tong;Huang, Shi;Weiss, Scott T.;Liu, Yang-Yu
Accurate species identification and abundance estimation are critical for the interpretation of whole metagenome sequencing (WMS) data. Yet, existing metagenomic profilers suffer from false-positive identifications, which can account for more than 90% of total identified species. Here, by leveraging species-specific Type IIB restriction endonuclease digestion sites as reference instead of universal markers or whole microbial genomes, we present a metagenomic profiler, MAP2B (MetAgenomic Profiler based on type IIB restriction sites), to resolve those issues. We first illustrate the pitfalls of using relative abundance as the only feature in determining false positives. We then propose a feature set to distinguish false positives from true positives, and using simulated metagenomes from CAMI2, we establish a false-positive recognition model. By benchmarking the performance in metagenomic profiling using a simulation dataset with varying sequencing depth and species richness, we illustrate the superior performance of MAP2B over existing metagenomic profilers in species identification. We further test the performance of MAP2B using real WMS data from an ATCC mock community, confirming its superior precision against sequencing depth. Finally, by leveraging WMS data from an IBD cohort, we demonstrate the taxonomic features generated by MAP2B can better discriminate IBD and predict metabolomic profiles. Here, leveraging species-specific Type IIB restriction endonuclease digestion sites as reference instead of universal markers or whole microbial genomes, the authors introduce MAP2B, a metagenomic profiler, showing it can significantly remove false-positive identification and generate highly accurate taxonomic profiling results.
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DOI:
10.1016/j.jinf.2017.12.014
发表时间:
2018-03
期刊:
The Journal of infection
影响因子:
--
作者:
Brown JR;Bharucha T;Breuer J
通讯作者:
Breuer J
影响因子:
9.3
作者:
Jing, Chendi;Chen, Hongbin;Wang, Hui
通讯作者:
Wang, Hui
影响因子:
6.4
作者:
Ganda E;Beck KL;Haiminen N;Silverman JD;Kawas B;Cronk BD;Anderson RR;Goodman LB;Wiedmann M
通讯作者:
Wiedmann M
影响因子:
4.4
作者:
Ounit R;Wanamaker S;Close TJ;Lonardi S
通讯作者:
Lonardi S
影响因子:
12.3
作者:
Breitwieser FP;Baker DN;Salzberg SL
通讯作者:
Salzberg SL