750 related articles for article (PubMed ID: 30166151)
1. 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]
2. Analysis of 16S rRNA Gene Amplicon Sequences Using the QIIME Software Package.
Lawley B; Tannock GW
Methods Mol Biol; 2017; 1537():153-163. PubMed ID: 27924593
[TBL] [Abstract][Full Text] [Related]
3. Microbial community profiling of fresh basil and pitfalls in taxonomic assignment of enterobacterial pathogenic species based upon 16S rRNA amplicon sequencing.
Ceuppens S; De Coninck D; Bottledoorn N; Van Nieuwerburgh F; Uyttendaele M
Int J Food Microbiol; 2017 Sep; 257():148-156. PubMed ID: 28666129
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Species classifier choice is a key consideration when analysing low-complexity food microbiome data.
Walsh AM; Crispie F; O'Sullivan O; Finnegan L; Claesson MJ; Cotter PD
Microbiome; 2018 Mar; 6(1):50. PubMed ID: 29554948
[TBL] [Abstract][Full Text] [Related]
6. Computational methods for high-throughput comparative analyses of natural microbial communities.
Preheim SP; Perrotta AR; Friedman J; Smilie C; Brito I; Smith MB; Alm E
Methods Enzymol; 2013; 531():353-70. PubMed ID: 24060130
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. e-DNA meta-barcoding: from NGS raw data to taxonomic profiling.
Bruno F; Marinella M; Santamaria M
Methods Mol Biol; 2015; 1269():257-78. PubMed ID: 25577384
[TBL] [Abstract][Full Text] [Related]
9. Bioinformatics for NGS-based metagenomics and the application to biogas research.
Jünemann S; Kleinbölting N; Jaenicke S; Henke C; Hassa J; Nelkner J; Stolze Y; Albaum SP; Schlüter A; Goesmann A; Sczyrba A; Stoye J
J Biotechnol; 2017 Nov; 261():10-23. PubMed ID: 28823476
[TBL] [Abstract][Full Text] [Related]
10. Piphillin predicts metagenomic composition and dynamics from DADA2-corrected 16S rDNA sequences.
Narayan NR; Weinmaier T; Laserna-Mendieta EJ; Claesson MJ; Shanahan F; Dabbagh K; Iwai S; DeSantis TZ
BMC Genomics; 2020 Jan; 21(1):56. PubMed ID: 31952477
[TBL] [Abstract][Full Text] [Related]
11. Comparison of two bioinformatics tools used to characterize the microbial diversity and predictive functional attributes of microbial mats from Lake Obersee, Antarctica.
Koo H; Hakim JA; Morrow CD; Eipers PG; Davila A; Andersen DT; Bej AK
J Microbiol Methods; 2017 Sep; 140():15-22. PubMed ID: 28655556
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. 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]
14. High-throughput qPCR and 16S rRNA gene amplicon sequencing as complementary methods for the investigation of the cheese microbiota.
Dreier M; Meola M; Berthoud H; Shani N; Wechsler D; Junier P
BMC Microbiol; 2022 Feb; 22(1):48. PubMed ID: 35130830
[TBL] [Abstract][Full Text] [Related]
15. LotuS: an efficient and user-friendly OTU processing pipeline.
Hildebrand F; Tadeo R; Voigt AY; Bork P; Raes J
Microbiome; 2014 Sep; 2(1):30. PubMed ID: 27367037
[TBL] [Abstract][Full Text] [Related]
16. Large-scale differences in microbial biodiversity discovery between 16S amplicon and shotgun sequencing.
Tessler M; Neumann JS; Afshinnekoo E; Pineda M; Hersch R; Velho LFM; Segovia BT; Lansac-Toha FA; Lemke M; DeSalle R; Mason CE; Brugler MR
Sci Rep; 2017 Jul; 7(1):6589. PubMed ID: 28761145
[TBL] [Abstract][Full Text] [Related]
17. RiboTagger: fast and unbiased 16S/18S profiling using whole community shotgun metagenomic or metatranscriptome surveys.
Xie C; Goi CL; Huson DH; Little PF; Williams RB
BMC Bioinformatics; 2016 Dec; 17(Suppl 19):508. PubMed ID: 28155666
[TBL] [Abstract][Full Text] [Related]
18. IPED: a highly efficient denoising tool for Illumina MiSeq Paired-end 16S rRNA gene amplicon sequencing data.
Mysara M; Leys N; Raes J; Monsieurs P
BMC Bioinformatics; 2016 Apr; 17(1):192. PubMed ID: 27130479
[TBL] [Abstract][Full Text] [Related]
19. Application of high-throughput pyrosequencing in the analysis of microbiota of food commodities procured from small and large retail outlets in a U.S. metropolitan area - A pilot study.
Higgins D; Pal C; Sulaiman IM; Jia C; Zerwekh T; Dowd SE; Banerjee P
Food Res Int; 2018 Mar; 105():29-40. PubMed ID: 29433218
[TBL] [Abstract][Full Text] [Related]
20. From reads to operational taxonomic units: an ensemble processing pipeline for MiSeq amplicon sequencing data.
Mysara M; Njima M; Leys N; Raes J; Monsieurs P
Gigascience; 2017 Feb; 6(2):1-10. PubMed ID: 28369460
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
