Cargando…
PM2RA: A Framework for Detecting and Quantifying Relationship Alterations in Microbial Community
The dysbiosis of gut microbiota is associated with the pathogenesis of human diseases. However, observing shifts in the microbe abundance cannot fully reveal underlying perturbations. Examining the relationship alterations (RAs) in the microbiome between health and disease statuses provides addition...
Autores principales: | Liu, Zhi, Mi, Kai, Xu, Zhenjiang Zech, Zhang, Qiankun, Liu, Xingyin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8498968/ https://www.ncbi.nlm.nih.gov/pubmed/33581337 http://dx.doi.org/10.1016/j.gpb.2020.07.005 |
Ejemplares similares
-
SVFX: a machine learning framework to quantify the pathogenicity of structural variants
por: Kumar, Sushant, et al.
Publicado: (2020) -
RaPID: ultra-fast, powerful, and accurate detection of segments identical by descent (IBD) in biobank-scale cohorts
por: Naseri, Ardalan, et al.
Publicado: (2019) -
Phylodynamics with Migration: A Computational Framework to Quantify Population Structure from Genomic Data
por: Kühnert, Denise, et al.
Publicado: (2016) -
Information theoretic measures for quantifying sequence–ensemble relationships of intrinsically disordered proteins
por: Cohan, Megan C, et al.
Publicado: (2019) -
RaGOO: fast and accurate reference-guided scaffolding of draft genomes
por: Alonge, Michael, et al.
Publicado: (2019)