normfact2absTMM: Convert a count or alignment table into a MANTA object
In manta: Microbial Assemblage Normalized Transcript Analysis

Description Usage Arguments Value See Also Examples

This function converts a table of alignment data (BLAST for example) where each record is a read and each column is some parameter of the blast(s). The function will perform a cross-tabulation of the annotated reads into count data using (at the very least) an aggregation index column and a condition column. Alternatively, the input can be pre-tabulated counts and a corresponding annotation table. The two tableMeta helper functions (called by the x2manta functions) are also documented here.

1	normfact2absTMM(x, pair, f=nv(x$samples, 'norm.factors'), sums=colSums(x$counts))

`x`	The manta object (can be NULL if f and sums are specified independently).
`pair`	A named vector indicating the condition names and the corresponding the reference or observation status of each.
`f`	The Normalization factors. By default uses the norm.factors column of the sample dataframe in x.
`sums`	The column sums of the counts. By default uses the column sums of the x$counts table.

a scalar normalization factor

manta, mantaMethod

conditions <- caroline::nv(factor(x=1:2, labels=c('ambient','plusFe')) ,c('ref','obs'))
manta.path <- system.file("extdata","PapaGO-BLAST.results-diatoms.Rdata", package="manta")
load(manta.path)

x$mm <- normfact2absTMM(x=x, pair=conditions)