Description Usage Arguments Value References See Also Examples
Given a taxonomic abundance table prepared with the Silva reference database, predicts the functional content using a KO precalculated mapping table that maps the taxonomic abundance for a given tax_table to functional abundance content across a set of functional genes.
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otu_table | 
 (required) Matrix or dataframe containing taxa abundances (counts, non-negative integers) across samples. Rows and columns must be uniquely named.  | 
rows_are_taxa | 
 (required) Logical flag indicating whether otu_table rows correspond to taxa (TRUE) or samples (FALSE).  | 
tax_table | 
 Matrix or dataframe containing Silva taxonimic information with row or column names corresponding to the otu_table. Silva species information is required.  | 
reference_path | 
 Folder path of the silva-to-kegg mapping file (t4f_silva_to_kegg.rds) and reference profiles (t4f_ref_profiles.rds). Must not be renamed.  | 
type | 
 Type of protein domain classification methods used to generate references (uproc or pauda). Defaults to uproc.  | 
short | 
 Logical flag whether to use a short or long read references. Defaults to TRUE.  | 
cn_normalize | 
 Logical flag for performing 16S rRNA copy number normalization. Defaults to FALSE.  | 
sample_normalize | 
 Logical flag to normalize functional predictions by the total functional abundance in a sample. Defaults to FALSE.  | 
scalar | 
 Value for scaling the topics over functions distrubution to predicted counts.  | 
drop | 
 Logical flag to drop empty gene columns after prediction. Defaults to TRUE.  | 
verbose | 
 Logical flag to print progress information. Defaults to FALSE.  | 
A list containing
A matrix of gene counts across topics.
A list of functional metadata corresponding to fxn_table.
A matrix of method specific metadata (FTU).
ABhauer, K. P., Wemheuer, B. Daniel, R., and Meinicke, P. (2015). Bioinformatics, 1-3. 31(17).
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