官方服务：
资源简介：
Scripts of bacterial composition analysis and linear regression etc.
细菌组成分析与线性回归等分析的脚本
应用场景：
相关数据集
Model estimates for predicting fecal hormone values.
Linear regression models included the explanatory variables found to be significant predictors. Possible fixed factors included: sex, age, age2, and month.
NIAID Data Ecosystem90
Guidelines for describing a microbiome data analysis
Scientific advances in microbial ecology rely on both high-quality data and rigorous analysis. At present, Statistical Analysis sections of many microbiome papers lack essential detail and justificati
NIAID Data Ecosystem30
Statistics of the regression models relating genome size with dN/dS and 16S rRNA as predictor variables using Generalized Least Square and Phylogenetic Least Square analyses.
We highlighted the models that were statistically significant (α = 0.05).
NIAID Data Ecosystem80
Additional file 2: of iMAP: an integrated bioinformatics and visualization pipeline for microbiome data analysis
Metadata profiling report generated automatically by the iMAP to provide a summary of the samples and the associated metadata. This report is the initial step in the RAYG (review-as-go) process. The r
Figshare2019-07-03 更新40
