Introduction:

This tool inputs metabolites and microbes abundance data. Detect the linear and nonlinear correlation between metabolites and microbes using GRaMM.

Input files:

1. Data of metabolome, Tab-delimited text file.

For example:

	HU_011	HU_014	HU_015	HU_017	HU_018	HU_019
(2-methoxyethoxy)propanoic acid isomer	3.019766	3.814339	3.519691	2.562183	3.781922	4.161074
(gamma)Glu-Leu/Ile	3.888479	4.277149	4.195649	4.32376	4.629329	4.412266
1-Methyluric acid	3.869006	3.837704	4.102254	4.53852	4.178829	4.516805
1-Methylxanthine	3.717259	3.776851	4.291665	4.432216	4.11736	4.562052
1,3-Dimethyluric acid	3.535461	3.932581	3.955376	4.228491	4.005545	4.320582
1,7-Dimethyluric acid	3.325199	4.025125	3.972904	4.109927	4.024092	4.326856
2-acetamido-4-methylphenyl acetate	4.204754	5.181858	3.88568	4.237915	1.852994	4.080681
2-Aminoadipic acid	4.080204	4.359246	4.249111	4.231404	4.323679	4.244485

2. Data of microbiome, Tab-delimited text file.

For example:

	HU_011	HU_014	HU_015	HU_017	HU_018	HU_019
OTU1	30.019766	30.814339	30.519691	20.562183	30.781922	40.161074
OTU2	30.888479	40.277149	40.195649	40.32376	40.629329	40.412266

3. (Optional) Data of covariates, Tab-delimited text file.

For example:

	HU_011	HU_014	HU_015	HU_017	HU_018	HU_019
Age	40	50	60	20	35	42
Height	173	186	144	156	186	124

Output files:

1. 'Correlation_coefficients.txt', the matrix of correlations.

2. 'Correlation_Heatmap.pdf', correlation heatmap plot.

3. 'Correlation_p_values.txt', the matrix of P-values.

4. 'Correlation_methods.txt', correlation methods for computing (linear or nonlinear).

5. 'Network_Edges_for_Cytoscape.txt', network edges information for Cytoscape software.

6. 'Network_Nodes_for_Cytoscape.txt', network nodes information for Cytoscape software.

7. 'R_value_top_10_pairs.pdf', corrlation coefficient top 10 pairs.

Reference:

Li M, Liang D, Chen T, Jia W (2019). gramm4R: Generalized correlation analysis and model construction strategy for metabolome and microbiome. R package version 1.1.0.