164 related articles for article (PubMed ID: 36520395)
1. Targeted 16S rRNA Gene Capture by Hybridization and Bioinformatic Analysis.
Comtet-Marre S; Chakoory O; Peyret P
Methods Mol Biol; 2023; 2605():187-208. PubMed ID: 36520395
[TBL] [Abstract][Full Text] [Related]
2. Hybridization capture reveals microbial diversity missed using current profiling methods.
Gasc C; Peyret P
Microbiome; 2018 Mar; 6(1):61. PubMed ID: 29587880
[TBL] [Abstract][Full Text] [Related]
3. Metagenomic 16S rDNA Illumina tags are a powerful alternative to amplicon sequencing to explore diversity and structure of microbial communities.
Logares R; Sunagawa S; Salazar G; Cornejo-Castillo FM; Ferrera I; Sarmento H; Hingamp P; Ogata H; de Vargas C; Lima-Mendez G; Raes J; Poulain J; Jaillon O; Wincker P; Kandels-Lewis S; Karsenti E; Bork P; Acinas SG
Environ Microbiol; 2014 Sep; 16(9):2659-71. PubMed ID: 24102695
[TBL] [Abstract][Full Text] [Related]
4. VITCOMIC2: visualization tool for the phylogenetic composition of microbial communities based on 16S rRNA gene amplicons and metagenomic shotgun sequencing.
Mori H; Maruyama T; Yano M; Yamada T; Kurokawa K
BMC Syst Biol; 2018 Mar; 12(Suppl 2):30. PubMed ID: 29560821
[TBL] [Abstract][Full Text] [Related]
5. Evaluation of 16S rRNA amplicon sequencing using two next-generation sequencing technologies for phylogenetic analysis of the rumen bacterial community in steers.
Myer PR; Kim M; Freetly HC; Smith TPL
J Microbiol Methods; 2016 Aug; 127():132-140. PubMed ID: 27282101
[TBL] [Abstract][Full Text] [Related]
6. A bioinformatics pipeline integrating predictive metagenomics profiling for the analysis of 16S rDNA/rRNA sequencing data originated from foods.
Mataragas M; Alessandria V; Ferrocino I; Rantsiou K; Cocolin L
Food Microbiol; 2018 Dec; 76():279-286. PubMed ID: 30166151
[TBL] [Abstract][Full Text] [Related]
7. Targeted Gene Capture by Hybridization to Illuminate Ecosystem Functioning.
Ribière C; Beugnot R; Parisot N; Gasc C; Defois C; Denonfoux J; Boucher D; Peyretaillade E; Peyret P
Methods Mol Biol; 2016; 1399():167-82. PubMed ID: 26791503
[TBL] [Abstract][Full Text] [Related]
8. A multi-amplicon 16S rRNA sequencing and analysis method for improved taxonomic profiling of bacterial communities.
Schriefer AE; Cliften PF; Hibberd MC; Sawyer C; Brown-Kennerly V; Burcea L; Klotz E; Crosby SD; Gordon JI; Head RD
J Microbiol Methods; 2018 Nov; 154():6-13. PubMed ID: 30273610
[TBL] [Abstract][Full Text] [Related]
9. Amplicon Sequencing of Single-Copy Protein-Coding Genes Reveals Accurate Diversity for Sequence-Discrete Microbiome Populations.
Yang C; Su Q; Tang M; Luo S; Zheng H; Zhang X; Zhou X
Microbiol Spectr; 2022 Apr; 10(2):e0210521. PubMed ID: 35416715
[TBL] [Abstract][Full Text] [Related]
10. Comparing 16S rDNA amplicon sequencing and hybridization capture for pea aphid microbiota diversity analysis.
Cariou M; Ribière C; Morlière S; Gauthier JP; Simon JC; Peyret P; Charlat S
BMC Res Notes; 2018 Jul; 11(1):461. PubMed ID: 29996907
[TBL] [Abstract][Full Text] [Related]
11. Full-length 16S rRNA gene classification of Atlantic salmon bacteria and effects of using different 16S variable regions on community structure analysis.
Klemetsen T; Willassen NP; Karlsen CR
Microbiologyopen; 2019 Oct; 8(10):e898. PubMed ID: 31271529
[TBL] [Abstract][Full Text] [Related]
12. Quantitative Assessment of Shotgun Metagenomics and 16S rDNA Amplicon Sequencing in the Study of Human Gut Microbiome.
Laudadio I; Fulci V; Palone F; Stronati L; Cucchiara S; Carissimi C
OMICS; 2018 Apr; 22(4):248-254. PubMed ID: 29652573
[TBL] [Abstract][Full Text] [Related]
13. Systematic processing of ribosomal RNA gene amplicon sequencing data.
Tremblay J; Yergeau E
Gigascience; 2019 Dec; 8(12):. PubMed ID: 31816087
[TBL] [Abstract][Full Text] [Related]
14. Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences.
Langille MG; Zaneveld J; Caporaso JG; McDonald D; Knights D; Reyes JA; Clemente JC; Burkepile DE; Vega Thurber RL; Knight R; Beiko RG; Huttenhower C
Nat Biotechnol; 2013 Sep; 31(9):814-21. PubMed ID: 23975157
[TBL] [Abstract][Full Text] [Related]
15. A comprehensive benchmarking study of protocols and sequencing platforms for 16S rRNA community profiling.
D'Amore R; Ijaz UZ; Schirmer M; Kenny JG; Gregory R; Darby AC; Shakya M; Podar M; Quince C; Hall N
BMC Genomics; 2016 Jan; 17():55. PubMed ID: 26763898
[TBL] [Abstract][Full Text] [Related]
16. rpoB, a promising marker for analyzing the diversity of bacterial communities by amplicon sequencing.
Ogier JC; Pagès S; Galan M; Barret M; Gaudriault S
BMC Microbiol; 2019 Jul; 19(1):171. PubMed ID: 31357928
[TBL] [Abstract][Full Text] [Related]
17. Development and Validation of a Reference Data Set for Assigning
Kosecka-Strojek M; Sabat AJ; Akkerboom V; Becker K; van Zanten E; Wisselink G; Miedzobrodzki J; Kooistra-Smid AMDM; Friedrich AW
Front Cell Infect Microbiol; 2019; 9():278. PubMed ID: 31456949
[TBL] [Abstract][Full Text] [Related]
18. Primer, Pipelines, Parameters: Issues in 16S rRNA Gene Sequencing.
Abellan-Schneyder I; Matchado MS; Reitmeier S; Sommer A; Sewald Z; Baumbach J; List M; Neuhaus K
mSphere; 2021 Feb; 6(1):. PubMed ID: 33627512
[TBL] [Abstract][Full Text] [Related]
19. High Throughput Sequencing and Network Analysis Disentangle the Microbial Communities of Ticks and Hosts Within and Between Ecosystems.
Estrada-Peña A; Cabezas-Cruz A; Pollet T; Vayssier-Taussat M; Cosson JF
Front Cell Infect Microbiol; 2018; 8():236. PubMed ID: 30038903
[TBL] [Abstract][Full Text] [Related]
20. Comparison Between Full-Length 16S rRNA Metabarcoding and Whole Metagenome Sequencing Suggests the Use of Either Is Suitable for Large-Scale Microbiome Studies.
Rubiola S; Macori G; Civera T; Fanning S; Mitchell M; Chiesa F
Foodborne Pathog Dis; 2022 Jul; 19(7):495-504. PubMed ID: 35819265
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
