The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Statistical Analysis of Metagenomics Data
Open accessAbstract
Understanding the role of the microbiome in human health and how it can be modulated is becoming increasingly relevant for preventive medicine and for the medical management of chronic diseases. The development of high-throughput sequencing technologies has boosted microbiome research through the study of microbial genomes and allowing a more precise quantification of microbiome abundances and function. Microbiome data analysis is challenging because it involves high-dimensional structured multivariate sparse data and because of its compositional nature. In this review we outline some of the procedures that are most commonly used for microbiome analysis and that are implemented in R packages. We place particular emphasis on the compositional structure of microbiome data. We describe the principles of compositional data analysis and distinguish between standard methods and those that fit into compositional data analysis.
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Cites
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The human microbiome: at the interface of health and disease
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Microbiome Datasets Are Compositional: And This Is Not Optional
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Current challenges and best-practice protocols for microbiome analysis
Bharti, R., & Grimm, D. G. (2021) · Briefings in Bioinformatics · doi:10.1093/bib/bbz155 · Cited by 592
McGuinness, A. J., Davis, J. A., Dawson, S. L., Loughman, A., Collier, F., O’Hely, M., Simpson, C. A., Green, J., Marx, W., Hair, C., et al. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01456-3 · Cited by 502
Endometrial microbiota composition is associated with reproductive outcome in infertile patients
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Learning sparse log-ratios for high-throughput sequencing data
Gordon-Rodriguez, E., Quinn, T. P., & Cunningham, J. P. (2021) · Bioinformatics · doi:10.1093/bioinformatics/btab645 · Cited by 37
Metadata
- Authors
- Calle, M. L.
- Venue
- Genomics & Informatics
- Publisher
- Korea Genome Organization
- Published
- 2019-03-31
- Volume
- 17
- Issue
- 1
- Pages
- e6
- ISSN
- 1598-866X (ISSN-L)
- 2234-0742
- OpenAlex
- W2930816179
- Cited by
- 261
- References
- 7
- FWCI
- 9.81
- Type
- journal article
- Language
- en
- Open access
- gold
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