197 related articles for article (PubMed ID: 28968799)
1. Temporal probabilistic modeling of bacterial compositions derived from 16S rRNA sequencing.
Äijö T; Müller CL; Bonneau R
Bioinformatics; 2018 Feb; 34(3):372-380. PubMed ID: 28968799
[TBL] [Abstract][Full Text] [Related]
2. An informative approach on differential abundance analysis for time-course metagenomic sequencing data.
Luo D; Ziebell S; An L
Bioinformatics; 2017 May; 33(9):1286-1292. PubMed ID: 28057680
[TBL] [Abstract][Full Text] [Related]
3. CCLasso: correlation inference for compositional data through Lasso.
Fang H; Huang C; Zhao H; Deng M
Bioinformatics; 2015 Oct; 31(19):3172-80. PubMed ID: 26048598
[TBL] [Abstract][Full Text] [Related]
4. Host DNA depletion efficiency of microbiome DNA enrichment methods in infected tissue samples.
Heravi FS; Zakrzewski M; Vickery K; Hu H
J Microbiol Methods; 2020 Mar; 170():105856. PubMed ID: 32007505
[TBL] [Abstract][Full Text] [Related]
5. Variability and bias in microbiome metagenomic sequencing: an interlaboratory study comparing experimental protocols.
Forry SP; Servetas SL; Kralj JG; Soh K; Hadjithomas M; Cano R; Carlin M; Amorim MG; Auch B; Bakker MG; Bartelli TF; Bustamante JP; Cassol I; Chalita M; Dias-Neto E; Duca AD; Gohl DM; Kazantseva J; Haruna MT; Menzel P; Moda BS; Neuberger-Castillo L; Nunes DN; Patel IR; Peralta RD; Saliou A; Schwarzer R; Sevilla S; Takenaka IKTM; Wang JR; Knight R; Gevers D; Jackson SA
Sci Rep; 2024 Apr; 14(1):9785. PubMed ID: 38684791
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Large-scale 16S gene assembly using metagenomics shotgun sequences.
Zeng F; Wang Z; Wang Y; Zhou J; Chen T
Bioinformatics; 2017 May; 33(10):1447-1456. PubMed ID: 28158392
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Microbial resolution of whole genome shotgun and 16S amplicon metagenomic sequencing using publicly available NEON data.
Brumfield KD; Huq A; Colwell RR; Olds JL; Leddy MB
PLoS One; 2020; 15(2):e0228899. PubMed ID: 32053657
[TBL] [Abstract][Full Text] [Related]
10. Gut microbiome comparability of fresh-frozen versus stabilized-frozen samples from hospitalized patients using 16S rRNA gene and shotgun metagenomic sequencing.
Ilett EE; Jørgensen M; Noguera-Julian M; Daugaard G; Murray DD; Helleberg M; Paredes R; Lundgren J; Sengeløv H; MacPherson C
Sci Rep; 2019 Sep; 9(1):13351. PubMed ID: 31527823
[TBL] [Abstract][Full Text] [Related]
11. MATAM: reconstruction of phylogenetic marker genes from short sequencing reads in metagenomes.
Pericard P; Dufresne Y; Couderc L; Blanquart S; Touzet H
Bioinformatics; 2018 Feb; 34(4):585-591. PubMed ID: 29040406
[TBL] [Abstract][Full Text] [Related]
12. DACE: a scalable DP-means algorithm for clustering extremely large sequence data.
Jiang L; Dong Y; Chen N; Chen T
Bioinformatics; 2017 Mar; 33(6):834-842. PubMed ID: 28025198
[TBL] [Abstract][Full Text] [Related]
13. Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing.
Shahi SK; Zarei K; Guseva NV; Mangalam AK
J Vis Exp; 2019 Oct; (152):. PubMed ID: 31680682
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Inference of Environmental Factor-Microbe and Microbe-Microbe Associations from Metagenomic Data Using a Hierarchical Bayesian Statistical Model.
Yang Y; Chen N; Chen T
Cell Syst; 2017 Jan; 4(1):129-137.e5. PubMed ID: 28125788
[TBL] [Abstract][Full Text] [Related]
16. Intrinsic challenges in ancient microbiome reconstruction using 16S rRNA gene amplification.
Ziesemer KA; Mann AE; Sankaranarayanan K; Schroeder H; Ozga AT; Brandt BW; Zaura E; Waters-Rist A; Hoogland M; Salazar-García DC; Aldenderfer M; Speller C; Hendy J; Weston DA; MacDonald SJ; Thomas GH; Collins MJ; Lewis CM; Hofman C; Warinner C
Sci Rep; 2015 Nov; 5():16498. PubMed ID: 26563586
[TBL] [Abstract][Full Text] [Related]
17. Metagenomic Information Recovery from Human Stool Samples Is Influenced by Sequencing Depth and Profiling Method.
Santiago-Rodriguez TM; Garoutte A; Adams E; Nasser W; Ross MC; La Reau A; Henseler Z; Ward T; Knights D; Petrosino JF; Hollister EB
Genes (Basel); 2020 Nov; 11(11):. PubMed ID: 33233349
[TBL] [Abstract][Full Text] [Related]
18. Validation and Retrospective Clinical Evaluation of a Quantitative 16S rRNA Gene Metagenomic Sequencing Assay for Bacterial Pathogen Detection in Body Fluids.
Culbreath K; Melanson S; Gale J; Baker J; Li F; Saebo O; Kommedal O; Contreras D; Garner OB; Yang S
J Mol Diagn; 2019 Sep; 21(5):913-923. PubMed ID: 31229651
[TBL] [Abstract][Full Text] [Related]
19. MetaShot: an accurate workflow for taxon classification of host-associated microbiome from shotgun metagenomic data.
Fosso B; Santamaria M; D'Antonio M; Lovero D; Corrado G; Vizza E; Passaro N; Garbuglia AR; Capobianchi MR; Crescenzi M; Valiente G; Pesole G
Bioinformatics; 2017 Jun; 33(11):1730-1732. PubMed ID: 28130230
[TBL] [Abstract][Full Text] [Related]
20. Current challenges and best-practice protocols for microbiome analysis.
Bharti R; Grimm DG
Brief Bioinform; 2021 Jan; 22(1):178-193. PubMed ID: 31848574
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]