[Genetics of plant development: integrating data from different observations and experiments in databases].

Genetics of plant development as a scientific discipline integrates experimental evidence from such different fields of biology as embryology, plant anatomy, molecular biology, and genetics, and studies their relationships with ontogeny. To date, traditional publication of scientific studies in form of articles is supplemented by presenting the results of extensive genome-scale experiments in genomics, transcriptomics, proteomics, and phenomics in databases. The information burst, cased both by genome-scale studies and growth in the number of publications, requires the development of general standards of annotating data from different sources for their integration and comparison. In this review, we present classification and analysis of existing databases, in which the user can find various kinds of information essential for studying developmental genetics of plants, and discuss problems of data integration both within the informational resources and among them.