133 related articles for article (PubMed ID: 37813636)
21. TaxAss: Leveraging a Custom Freshwater Database Achieves Fine-Scale Taxonomic Resolution.
Rohwer RR; Hamilton JJ; Newton RJ; McMahon KD
mSphere; 2018 Sep; 3(5):. PubMed ID: 30185512
[TBL] [Abstract][Full Text] [Related]
22. OptiFit: an Improved Method for Fitting Amplicon Sequences to Existing OTUs.
Sovacool KL; Westcott SL; Mumphrey MB; Dotson GA; Schloss PD
mSphere; 2022 Feb; 7(1):e0091621. PubMed ID: 35107341
[TBL] [Abstract][Full Text] [Related]
23. Taxonomic annotation of 16S rRNA sequences of pig intestinal samples using MG-RAST and QIIME2 generated different microbiota compositions.
Lima J; Manning T; Rutherford KM; Baima ET; Dewhurst RJ; Walsh P; Roehe R
J Microbiol Methods; 2021 Jul; 186():106235. PubMed ID: 33974954
[TBL] [Abstract][Full Text] [Related]
24. Fast and Simple Analysis of MiSeq Amplicon Sequencing Data with MetaAmp.
Dong X; Kleiner M; Sharp CE; Thorson E; Li C; Liu D; Strous M
Front Microbiol; 2017; 8():1461. PubMed ID: 28824589
[TBL] [Abstract][Full Text] [Related]
25. Identifying optimal bioinformatics protocols for aerosol microbial community data.
Miaow K; Lacap-Bugler D; Buckley HL
PeerJ; 2021; 9():e12065. PubMed ID: 34703658
[TBL] [Abstract][Full Text] [Related]
26. Interpretations of Environmental Microbial Community Studies Are Biased by the Selected 16S rRNA (Gene) Amplicon Sequencing Pipeline.
Straub D; Blackwell N; Langarica-Fuentes A; Peltzer A; Nahnsen S; Kleindienst S
Front Microbiol; 2020; 11():550420. PubMed ID: 33193131
[TBL] [Abstract][Full Text] [Related]
27. A comparison of sequencing platforms and bioinformatics pipelines for compositional analysis of the gut microbiome.
Allali I; Arnold JW; Roach J; Cadenas MB; Butz N; Hassan HM; Koci M; Ballou A; Mendoza M; Ali R; Azcarate-Peril MA
BMC Microbiol; 2017 Sep; 17(1):194. PubMed ID: 28903732
[TBL] [Abstract][Full Text] [Related]
28. 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]
29.
Abdala Asbun A; Besseling MA; Balzano S; van Bleijswijk JDL; Witte HJ; Villanueva L; Engelmann JC
Front Genet; 2020; 11():489357. PubMed ID: 33329686
[TBL] [Abstract][Full Text] [Related]
30. 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]
31. Performance of Microbiome Sequence Inference Methods in Environments with Varying Biomass.
Caruso V; Song X; Asquith M; Karstens L
mSystems; 2019; 4(1):. PubMed ID: 30801029
[TBL] [Abstract][Full Text] [Related]
32. Comparing bioinformatic pipelines for microbial 16S rRNA amplicon sequencing.
Prodan A; Tremaroli V; Brolin H; Zwinderman AH; Nieuwdorp M; Levin E
PLoS One; 2020; 15(1):e0227434. PubMed ID: 31945086
[TBL] [Abstract][Full Text] [Related]
33. Daring to be differential: metabarcoding analysis of soil and plant-related microbial communities using amplicon sequence variants and operational taxonomical units.
Joos L; Beirinckx S; Haegeman A; Debode J; Vandecasteele B; Baeyen S; Goormachtig S; Clement L; De Tender C
BMC Genomics; 2020 Oct; 21(1):733. PubMed ID: 33092529
[TBL] [Abstract][Full Text] [Related]
34. Benefits of merging paired-end reads before pre-processing environmental metagenomics data.
Maran MIJ; Davis G DJ
Mar Genomics; 2022 Feb; 61():100914. PubMed ID: 34864203
[TBL] [Abstract][Full Text] [Related]
35. Efficient and Accurate OTU Clustering with GPU-Based Sequence Alignment and Dynamic Dendrogram Cutting.
Nguyen TD; Schmidt B; Zheng Z; Kwoh CK
IEEE/ACM Trans Comput Biol Bioinform; 2015; 12(5):1060-73. PubMed ID: 26451819
[TBL] [Abstract][Full Text] [Related]
36. Patterns of Relative Bacterial Richness and Community Composition in Seawater and Marine Sediment Are Robust for Both Operational Taxonomic Units and Amplicon Sequence Variants.
Kerrigan Z; D'Hondt S
Front Microbiol; 2022; 13():796758. PubMed ID: 35197949
[TBL] [Abstract][Full Text] [Related]
37. Amplicon Sequence Variants Artificially Split Bacterial Genomes into Separate Clusters.
Schloss PD
mSphere; 2021 Aug; 6(4):e0019121. PubMed ID: 34287003
[TBL] [Abstract][Full Text] [Related]
38. Identifying the minimum amplicon sequence depth to adequately predict classes in eDNA-based marine biomonitoring using supervised machine learning.
Dully V; Wilding TA; Mühlhaus T; Stoeck T
Comput Struct Biotechnol J; 2021; 19():2256-2268. PubMed ID: 33995917
[TBL] [Abstract][Full Text] [Related]
39. Finding the right fit: evaluation of short-read and long-read sequencing approaches to maximize the utility of clinical microbiome data.
Gehrig JL; Portik DM; Driscoll MD; Jackson E; Chakraborty S; Gratalo D; Ashby M; Valladares R
Microb Genom; 2022 Mar; 8(3):. PubMed ID: 35302439
[TBL] [Abstract][Full Text] [Related]
40. Seasonal Dynamics of the Activated Sludge Microbiome in Sequencing Batch Reactors, Assessed Using 16S rRNA Transcript Amplicon Sequencing.
Johnston J; Behrens S
Appl Environ Microbiol; 2020 Sep; 86(19):. PubMed ID: 32709723
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]