Taxonomic classification and abundance estimation using 16S and WGS—A comparison using controlled reference samples
• WGS allows for better taxonomic annotation of microbiomes in comparison to 16S. • 16S based analysis suffers from database- and tool biases. • Distinct taxonomy assignment algorithms produce similar results when using WGS data. • Using 16S data for metagenomic investigations can lead to conclusion...
Ausführliche Beschreibung
Autor*in: |
Khachatryan, Lusine [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2020 |
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Schlagwörter: |
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Übergeordnetes Werk: |
Enthalten in: Modelling the impact of targeted interventions on the HCV epidemic in Pakistan: the road to HCV elimination - Lim, A.G. ELSEVIER, 2017, an international journal dedicated to the applications of genetics in the administration of justice, Amsterdam [u.a.] |
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Übergeordnetes Werk: |
volume:46 ; year:2020 ; pages:0 |
Links: |
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DOI / URN: |
10.1016/j.fsigen.2020.102257 |
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10.1016/j.fsigen.2020.102257 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001299.pica (DE-627)ELV049823086 (ELSEVIER)S1872-4973(20)30028-4 DE-627 ger DE-627 rakwb eng 610 VZ 610 VZ 44.44 bkl Khachatryan, Lusine verfasserin aut Taxonomic classification and abundance estimation using 16S and WGS—A comparison using controlled reference samples 2020 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • WGS allows for better taxonomic annotation of microbiomes in comparison to 16S. • 16S based analysis suffers from database- and tool biases. • Distinct taxonomy assignment algorithms produce similar results when using WGS data. • Using 16S data for metagenomic investigations can lead to conclusions that are incorrect. Taxonomic profiling Elsevier Metagenomics Elsevier 16S sequencing Elsevier WGS sequencing Elsevier Skin microbiome Elsevier de Leeuw, Rick H. oth Kraakman, Margriet E.M. oth Pappas, Nikos oth te Raa, Marije oth Mei, Hailiang oth de Knijff, Peter oth Laros, Jeroen F.J. oth Enthalten in Elsevier Science Lim, A.G. ELSEVIER Modelling the impact of targeted interventions on the HCV epidemic in Pakistan: the road to HCV elimination 2017 an international journal dedicated to the applications of genetics in the administration of justice Amsterdam [u.a.] (DE-627)ELV014877864 volume:46 year:2020 pages:0 https://doi.org/10.1016/j.fsigen.2020.102257 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_40 44.44 Parasitologie Medizin VZ AR 46 2020 0 |
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10.1016/j.fsigen.2020.102257 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001299.pica (DE-627)ELV049823086 (ELSEVIER)S1872-4973(20)30028-4 DE-627 ger DE-627 rakwb eng 610 VZ 610 VZ 44.44 bkl Khachatryan, Lusine verfasserin aut Taxonomic classification and abundance estimation using 16S and WGS—A comparison using controlled reference samples 2020 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • WGS allows for better taxonomic annotation of microbiomes in comparison to 16S. • 16S based analysis suffers from database- and tool biases. • Distinct taxonomy assignment algorithms produce similar results when using WGS data. • Using 16S data for metagenomic investigations can lead to conclusions that are incorrect. Taxonomic profiling Elsevier Metagenomics Elsevier 16S sequencing Elsevier WGS sequencing Elsevier Skin microbiome Elsevier de Leeuw, Rick H. oth Kraakman, Margriet E.M. oth Pappas, Nikos oth te Raa, Marije oth Mei, Hailiang oth de Knijff, Peter oth Laros, Jeroen F.J. oth Enthalten in Elsevier Science Lim, A.G. ELSEVIER Modelling the impact of targeted interventions on the HCV epidemic in Pakistan: the road to HCV elimination 2017 an international journal dedicated to the applications of genetics in the administration of justice Amsterdam [u.a.] (DE-627)ELV014877864 volume:46 year:2020 pages:0 https://doi.org/10.1016/j.fsigen.2020.102257 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_40 44.44 Parasitologie Medizin VZ AR 46 2020 0 |
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10.1016/j.fsigen.2020.102257 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001299.pica (DE-627)ELV049823086 (ELSEVIER)S1872-4973(20)30028-4 DE-627 ger DE-627 rakwb eng 610 VZ 610 VZ 44.44 bkl Khachatryan, Lusine verfasserin aut Taxonomic classification and abundance estimation using 16S and WGS—A comparison using controlled reference samples 2020 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • WGS allows for better taxonomic annotation of microbiomes in comparison to 16S. • 16S based analysis suffers from database- and tool biases. • Distinct taxonomy assignment algorithms produce similar results when using WGS data. • Using 16S data for metagenomic investigations can lead to conclusions that are incorrect. Taxonomic profiling Elsevier Metagenomics Elsevier 16S sequencing Elsevier WGS sequencing Elsevier Skin microbiome Elsevier de Leeuw, Rick H. oth Kraakman, Margriet E.M. oth Pappas, Nikos oth te Raa, Marije oth Mei, Hailiang oth de Knijff, Peter oth Laros, Jeroen F.J. oth Enthalten in Elsevier Science Lim, A.G. ELSEVIER Modelling the impact of targeted interventions on the HCV epidemic in Pakistan: the road to HCV elimination 2017 an international journal dedicated to the applications of genetics in the administration of justice Amsterdam [u.a.] (DE-627)ELV014877864 volume:46 year:2020 pages:0 https://doi.org/10.1016/j.fsigen.2020.102257 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_40 44.44 Parasitologie Medizin VZ AR 46 2020 0 |
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10.1016/j.fsigen.2020.102257 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001299.pica (DE-627)ELV049823086 (ELSEVIER)S1872-4973(20)30028-4 DE-627 ger DE-627 rakwb eng 610 VZ 610 VZ 44.44 bkl Khachatryan, Lusine verfasserin aut Taxonomic classification and abundance estimation using 16S and WGS—A comparison using controlled reference samples 2020 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • WGS allows for better taxonomic annotation of microbiomes in comparison to 16S. • 16S based analysis suffers from database- and tool biases. • Distinct taxonomy assignment algorithms produce similar results when using WGS data. • Using 16S data for metagenomic investigations can lead to conclusions that are incorrect. Taxonomic profiling Elsevier Metagenomics Elsevier 16S sequencing Elsevier WGS sequencing Elsevier Skin microbiome Elsevier de Leeuw, Rick H. oth Kraakman, Margriet E.M. oth Pappas, Nikos oth te Raa, Marije oth Mei, Hailiang oth de Knijff, Peter oth Laros, Jeroen F.J. oth Enthalten in Elsevier Science Lim, A.G. ELSEVIER Modelling the impact of targeted interventions on the HCV epidemic in Pakistan: the road to HCV elimination 2017 an international journal dedicated to the applications of genetics in the administration of justice Amsterdam [u.a.] (DE-627)ELV014877864 volume:46 year:2020 pages:0 https://doi.org/10.1016/j.fsigen.2020.102257 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_40 44.44 Parasitologie Medizin VZ AR 46 2020 0 |
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• WGS allows for better taxonomic annotation of microbiomes in comparison to 16S. • 16S based analysis suffers from database- and tool biases. • Distinct taxonomy assignment algorithms produce similar results when using WGS data. • Using 16S data for metagenomic investigations can lead to conclusions that are incorrect. |
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• WGS allows for better taxonomic annotation of microbiomes in comparison to 16S. • 16S based analysis suffers from database- and tool biases. • Distinct taxonomy assignment algorithms produce similar results when using WGS data. • Using 16S data for metagenomic investigations can lead to conclusions that are incorrect. |
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• WGS allows for better taxonomic annotation of microbiomes in comparison to 16S. • 16S based analysis suffers from database- and tool biases. • Distinct taxonomy assignment algorithms produce similar results when using WGS data. • Using 16S data for metagenomic investigations can lead to conclusions that are incorrect. |
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