Page 126 - Read Online
P. 126
Page 14 of 16 Pham et al. Microbiome Res Rep 2024;3:25 https://dx.doi.org/10.20517/mrr.2024.01
capability is particularly beneficial for studying unexplored microbial communities or those from
understudied environments.
DECLARATIONS
Acknowledgments
We acknowledge Quang Tran for his contribution during the initial phase of this research.
Authors’ contributions
Conception and design of the method, studies, and experiments: Pham DT, Phan V
Coding and implementation of the method, data collection, and data analysis: Pham DT
Availability of data and materials
Code and sample data reported in this manuscript are publicly available on GitHub (https://github.com/
pdtrang/MetaBIDx).
Financial support and sponsorship
None.
Conflicts of interest
Both authors declared that there are no conflicts of interest.
Ethical approval and consent to participate
Not applicable.
Consent for publication
Not applicable.
Copyright
© The Author(s) 2024.
REFERENCES
1. Voelkerding KV, Dames SA, Durtschi JD. Next-generation sequencing: from basic research to diagnostics. Clin Chem 2009;55:641-
58. DOI PubMed
2. National Research Council. The new science of metagenomics: revealing the secrets of our microbial planet. Washington, DC: The
National Academies Press; 2007. DOI
3. Martín R, Miquel S, Langella P, Bermúdez-Humarán LG. The role of metagenomics in understanding the human microbiome in health
and disease. Virulence 2014;5:413-23. DOI PubMed PMC
4. Qin J, Li Y, Cai Z, et al. A metagenome-wide association study of gut microbiota in type 2 diabetes. Nature 2012;490:55-60. DOI
5. Wang N, Zhu F, Chen L, Chen K. Proteomics, metabolomics and metagenomics for type 2 diabetes and its complications. Life Sci
2018;212:194-202. DOI
6. Valles-Colomer M, Falony G, Darzi Y, et al. The neuroactive potential of the human gut microbiota in quality of life and depression.
Nat Microbiol 2019;4:623-32. DOI
7. Lai J, Li A, Jiang J, et al. Metagenomic analysis reveals gut bacterial signatures for diagnosis and treatment outcome prediction in
bipolar depression. Psychiatry Res 2022;307:114326. DOI PubMed
8. Kishikawa T, Maeda Y, Nii T, et al. 'Comment on 'Metagenome-wide association study of gut microbiome revealed novel aetiology of
rheumatoid arthritis in the Japanese population' by Kishikawa et al ' by Kitamura et al. Ann Rheum Dis 2020;79:103-11. DOI PubMed
.
9. Chu Y, Sun S, Huang Y, et al. Metagenomic analysis revealed the potential role of gut microbiome in gout. NPJ Biofilms Microbiomes
2021;7:66. DOI PubMed PMC
10. Eloe-Fadrosh EA, Rasko DA. The human microbiome: from symbiosis to pathogenesis. Annu Rev Med 2013;64:145-63. DOI
PubMed PMC
11. Teeling H, Glöckner FO. Current opportunities and challenges in microbial metagenome analysis - a bioinformatic perspective. Brief
Bioinform 2012;13:728-42. DOI PubMed PMC