Input files of the metabolome data(.csv) consists of: sample name (at the first column. If you also upload the microbiome data, which must be the same as the sample name in microbiome data), metabolites name (at the first row) ,metabolome data. The sample is as follows:

	Deoxyuridine	4-Pyridoxic acid	2-Hydroxybutyric acid	1-Methylhistidine
sample1	34.1	65.4	34.7	65.6
sample2	52.4	53.6	32.4	65.1
sample3	33.2	56.4	32.1	22.2
sample4	55.3	82.5	34.2	24.6
sample5	65.1	33.1	34.2	15.2

Input files of the microbiome data(.csv) consists of: sample name (at the first column. If you also upload the metabolome data, which must be the same as the sample name in metabolome data), microbes name (at the first row) ,microbiome data. The sample is as follows:

	Bifidobacterium	Eggerthella	Bacteroidetes	Parabacteroides
sample1	0.27	0.65	0.34	0.65
sample2	0.54	0.53	0.46	0.18
sample3	0.52	0.56	0.41	0.82
sample4	0.63	0.86	0.62	0.68
sample5	0.14	0.61	0.42	0.65

Optional. Input files of the phenotype data(.csv) consists of: sample name (at the first column, which must be the same as the sample name in others data), microbes name (at the first row) ,microbiome data. The sample is as follows:

Phenotype (Categorical):

	Phenotype
sample1	A
sample2	A
sample3	B
sample4	B
sample5	B

Phenotype (Continuous):

	Phenotype
sample1	2.4
sample2	4.3
sample3	5.3
sample4	5.2
sample5	4.2

Input files of the microbiome data(.csv) consists of: sample name (at the first column. If you also upload the metabolome data, which must be the same as the sample name in metabolome data), microbes name (at the first row) ,microbiome data. The sample is as follows:

	Weight
sample1	66
sample2	56
sample3	77
sample4	78
sample5	52