Enter a list of gene IDs (KO, EC or COG) with optional abundance values for mapping and visualization within the KEGG global metabolic networks. If you are not sure, use Try our example to view.
Upload your read count table in tab-delimited (.txt) or comma-seperated values (.csv) format. The sample names must be in the first line, beginning with "#NAME". A small example data is shown below:
#NAME Sample1 Sample2 Sample3 Sample4 Sample5 Sample6 Sample7 Sample8 COG0001 219 49 42 50 6 17 22 21 COG0004 424 0 191 0 0 0 0 0 COG0003 32 4 4 22 76 16 1 0 COG0005 47 0 0 4 0 0 0 0
Upload your sample data information in tab-delimited (.txt) or comma-seperated values (.csv) format. The sample names must be in the first column with "#NAME" as header, followed by the sample variable names from 2nd column onwards. Sample names must be same in both files. A small example data is shown below:
#NAME SampleType Primer Sample1 skin ILBC_02 Sample2 gut ILBC_06 Sample3 skin ILBC_01 Sample4 gut ILBC_07 Sample5 gut ILBC_05 Sample6 gut ILBC_09 Sample7 skin ILBC_08 Sample8 skin ILBC_03
Input the annotated gene ID type. Use other if the genes are not annotated to KEGG, Enzyme Commission, of Clusters of Orthologous Groups. In this case, functional analysis will be disabled.
Your biom file must contain at least abundance table. Metadata file has to be provided seperately.
Upload your sample data information as a tab-delimited text file (.txt) or comma-seperated values (.csv) format. The sample names must be in the first column with "#NAME" as header, followed by the sample variable names from 2nd column onwards. Sample names must be same in both files. A small example data is shown below:
#NAME SampleType Sample1 skin Sample2 gut Sample3 skin Sample4 gut Sample5 gut Sample6 gut Sample7 skin Sample8 skin
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