159 related articles for article (PubMed ID: 36287644)
1. Bioinformatic approaches for studying the microbiome of fermented food.
Walsh LH; Coakley M; Walsh AM; O'Toole PW; Cotter PD
Crit Rev Microbiol; 2023 Nov; 49(6):693-725. PubMed ID: 36287644
[TBL] [Abstract][Full Text] [Related]
2. Practical considerations for sampling and data analysis in contemporary metagenomics-based environmental studies.
Staley C; Sadowsky MJ
J Microbiol Methods; 2018 Nov; 154():14-18. PubMed ID: 30287354
[TBL] [Abstract][Full Text] [Related]
3. Integrated molecular approaches for fermented food microbiome research.
Walsh AM; Leech J; Huttenhower C; Delhomme-Nguyen H; Crispie F; Chervaux C; Cotter PD
FEMS Microbiol Rev; 2023 Mar; 47(2):. PubMed ID: 36725208
[TBL] [Abstract][Full Text] [Related]
4. ASaiM-MT: a validated and optimized ASaiM workflow for metatranscriptomics analysis within Galaxy framework.
Mehta S; Crane M; Leith E; Batut B; Hiltemann S; Arntzen MØ; Kunath BJ; Pope PB; Delogu F; Sajulga R; Kumar P; Johnson JE; Griffin TJ; Jagtap PD
F1000Res; 2021; 10():103. PubMed ID: 34484688
[TBL] [Abstract][Full Text] [Related]
5. Comparative metagenomic analysis of human gut microbiome composition using two different bioinformatic pipelines.
D'Argenio V; Casaburi G; Precone V; Salvatore F
Biomed Res Int; 2014; 2014():325340. PubMed ID: 24719854
[TBL] [Abstract][Full Text] [Related]
6. Emerging tools for understanding the human microbiome.
Ghosh TS; Das M
Prog Mol Biol Transl Sci; 2022; 191(1):29-51. PubMed ID: 36270681
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Microbial community analysis using high-throughput sequencing technology: a beginner's guide for microbiologists.
Jo J; Oh J; Park C
J Microbiol; 2020 Mar; 58(3):176-192. PubMed ID: 32108314
[TBL] [Abstract][Full Text] [Related]
9. Metagenomic approaches in microbial ecology: an update on whole-genome and marker gene sequencing analyses.
Pérez-Cobas AE; Gomez-Valero L; Buchrieser C
Microb Genom; 2020 Aug; 6(8):. PubMed ID: 32706331
[TBL] [Abstract][Full Text] [Related]
10. A practical guide to amplicon and metagenomic analysis of microbiome data.
Liu YX; Qin Y; Chen T; Lu M; Qian X; Guo X; Bai Y
Protein Cell; 2021 May; 12(5):315-330. PubMed ID: 32394199
[TBL] [Abstract][Full Text] [Related]
11. Re-purposing software for functional characterization of the microbiome.
Gardiner LJ; Haiminen N; Utro F; Parida L; Seabolt E; Krishna R; Kaufman JH
Microbiome; 2021 Jan; 9(1):4. PubMed ID: 33422152
[TBL] [Abstract][Full Text] [Related]
12. UltraSEQ, a Universal Bioinformatic Platform for Information-Based Clinical Metagenomics and Beyond.
Gemler BT; Mukherjee C; Howland C; Fullerton PA; Spurbeck RR; Catlin LA; Smith A; Minard-Smith AT; Bartling C
Microbiol Spectr; 2023 Jun; 11(3):e0416022. PubMed ID: 37039637
[TBL] [Abstract][Full Text] [Related]
13. Bioinformatics tools for quantitative and functional metagenome and metatranscriptome data analysis in microbes.
Niu SY; Yang J; McDermaid A; Zhao J; Kang Y; Ma Q
Brief Bioinform; 2018 Nov; 19(6):1415-1429. PubMed ID: 28481971
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. High throughput sequencing methods and analysis for microbiome research.
Di Bella JM; Bao Y; Gloor GB; Burton JP; Reid G
J Microbiol Methods; 2013 Dec; 95(3):401-14. PubMed ID: 24029734
[TBL] [Abstract][Full Text] [Related]
16. What Is Metagenomics Teaching Us, and What Is Missed?
New FN; Brito IL
Annu Rev Microbiol; 2020 Sep; 74():117-135. PubMed ID: 32603623
[TBL] [Abstract][Full Text] [Related]
17. A microbiome reality check: limitations of in silico-based metagenomic approaches to study complex bacterial communities.
Lugli GA; Milani C; Mancabelli L; Turroni F; van Sinderen D; Ventura M
Environ Microbiol Rep; 2019 Dec; 11(6):840-847. PubMed ID: 31668006
[TBL] [Abstract][Full Text] [Related]
18. Recent Past, Present, and Future of the Food Microbiome.
De Filippis F; Parente E; Ercolini D
Annu Rev Food Sci Technol; 2018 Mar; 9():589-608. PubMed ID: 29350561
[TBL] [Abstract][Full Text] [Related]
19. [A review on the bioinformatics pipelines for metagenomic research].
Ye DD; Fan MM; Guan Q; Chen HJ; Ma ZS
Dongwuxue Yanjiu; 2012 Dec; 33(6):574-85. PubMed ID: 23266976
[TBL] [Abstract][Full Text] [Related]
20. Metagenomics: a path to understanding the gut microbiome.
Yen S; Johnson JS
Mamm Genome; 2021 Aug; 32(4):282-296. PubMed ID: 34259891
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
