Registration of the expression patterns of Drosophila segmentation genes by two independent methods

Abstract

Motivation: To construct an integrated map of Drosophila segmentation gene expression from partial data taken from individual embryos. Results: Spline and wavelet based registration techniques were developed to register Drosophila segmentation gene expression data. As ground control points for registration we used the locations of extrema on gene expression patterns, represented in 1D. The registration method was characterized by unprecedented high accuracy. A method for constructing the integrated pattern of gene expression at cellular resolution was designed. These patterns were constructed for 9 segmentation genes belonging to gap and pair-rule classes.