Registration of the expression patterns of Drosophila segmentation genes by two independent methods.
BACKGROUND
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.
Institute of High Performance Computing and Data Bases, 118 Fontanka emb., St Petersburg 198005, Russia. myasnikova@fn.csa.ru
E
E
Myasnikova
A
A
Samsonova
K
K
Kozlov
M
M
Samsonova
J
J
Reinitz
D000465:Algorithms; D000818:Animals; D002874:Chromosome Mapping; D019295:Computational Biology; D016208:Databases, Factual; D004330:Drosophila / Q000196:embryology / Q000235:genetics*; D020869:Gene Expression Profiling / Q000379:methods* / Q000706:statistics & numerical data; D018507:Gene Expression Regulation, Developmental; D017344:Genes, Insect; D012984:Software