Version 1
: Received: 2 February 2024 / Approved: 5 February 2024 / Online: 5 February 2024 (13:17:52 CET)
Version 2
: Received: 19 February 2024 / Approved: 19 February 2024 / Online: 19 February 2024 (15:27:25 CET)
Version 3
: Received: 11 March 2024 / Approved: 11 March 2024 / Online: 11 March 2024 (16:59:03 CET)
How to cite:
Itagaki, T.; Sakata, K.; Hasebe, A.; Kitagawa, Y. Diversity of the Japanese Gut Microbiome. Preprints2024, 2024020275. https://doi.org/10.20944/preprints202402.0275.v1
Itagaki, T.; Sakata, K.; Hasebe, A.; Kitagawa, Y. Diversity of the Japanese Gut Microbiome. Preprints 2024, 2024020275. https://doi.org/10.20944/preprints202402.0275.v1
Itagaki, T.; Sakata, K.; Hasebe, A.; Kitagawa, Y. Diversity of the Japanese Gut Microbiome. Preprints2024, 2024020275. https://doi.org/10.20944/preprints202402.0275.v1
APA Style
Itagaki, T., Sakata, K., Hasebe, A., & Kitagawa, Y. (2024). Diversity of the Japanese Gut Microbiome. Preprints. https://doi.org/10.20944/preprints202402.0275.v1
Chicago/Turabian Style
Itagaki, T., Akira Hasebe and Yoshimasa Kitagawa. 2024 "Diversity of the Japanese Gut Microbiome" Preprints. https://doi.org/10.20944/preprints202402.0275.v1
Abstract
Firmicutes and Bacteroidetes, the major phyla in the colon, have been observed in humans worldwide. Gut microbiome analyses often use the Firmicutes/Bacteroidetes ratio and principal coordinates analysis (PCoA). However, misinformation is pervasive in the human microbiome literature and analysis. An attempt was made to demonstrate how to analyze using the “National Institutes of Biomedical Innovation, Health and Nutrition (NIBIOHN JMD) (Public Data).” The results showed that PCoA did not work, and principal component analysis (PCA) was useful for analyzing the gut microbiome alpha diversity.
Keywords
gut microbiome; compositional data; principal component analysis; machine learning; diversity
Subject
Biology and Life Sciences, Biology and Biotechnology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.