Skip to main content
Fig. 1 | BioData Mining

Fig. 1

From: RNA-sequence data normalization through in silico prediction of reference genes: the bacterial response to DNA damage as case study

Fig. 1

Workflow of moose 2. Input data is presented either as FPKM- or RPKM-normalized values or raw read (or pair) counts, which is specified with the data. If available, a set of known reference genes is provided, which serve as waypoints for the dynamic programming (DP) step. The data is then normalized through a polynomial fit and stored. Limma is applied to estimate Benjamini-Hochberg (BH)-corrected p-values and the resulting pairwise cross-condition statistics can then be used for expression analyses

Back to article page

BioData Mining

ISSN: 1756-0381