Cargando…
A Scale-Free, Fully Connected Global Transition Network Underlies Known Microbiome Diversity
Microbiomes are inherently linked by their structural similarity, yet the global features of such similarity are not clear. Here, we propose as a solution a search-based microbiome transition network. By traversing a composition-similarity-based network of 177,022 microbiomes, we show that although...
Autores principales: | Jing, Gongchao, Zhang, Yufeng, Liu, Lu, Wang, Zengbin, Sun, Zheng, Knight, Rob, Su, Xiaoquan, Xu, Jian |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Microbiology
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8407412/ https://www.ncbi.nlm.nih.gov/pubmed/34254819 http://dx.doi.org/10.1128/mSystems.00394-21 |
Ejemplares similares
-
Microbiome Search Engine 2: a Platform for Taxonomic and Functional Search of Global Microbiomes on the Whole-Microbiome Level
por: Jing, Gongchao, et al.
Publicado: (2021) -
Identifying and Predicting Novelty in Microbiome Studies
por: Su, Xiaoquan, et al.
Publicado: (2018) -
Multiple-Disease Detection and Classification across Cohorts via Microbiome Search
por: Su, Xiaoquan, et al.
Publicado: (2020) -
Reply to Sun et al., “Identifying Composition Novelty in Microbiome Studies: Improvement of Prediction Accuracy”
por: Su, Xiaoquan, et al.
Publicado: (2019) -
Hierarchical Meta-Storms enables comprehensive and rapid comparison of microbiome functional profiles on a large scale using hierarchical dissimilarity metrics and parallel computing
por: Zhang, Yufeng, et al.
Publicado: (2021)