Prediction of gene expression in embryonic structures of Drosophila melanogaster.

ABSTRACT: Understanding how sets of genes are coordinately regulated in space and time to generate the diversity of cell types that characterise complex metazoans is a major challenge in modern biology. The use of high-throughput approaches, such as large-scale in situ hybridisation and genome-wide expression profiling via DNA microarrays, is beginning to provide insights into the complexities of development. However, in many organisms the collection and annotation of comprehensive in situ localisation data is a difficult and time-consuming task. Here, we present a widely applicable computational approach, integrating developmental time-course microarray data with annotated in situ hybridisation studies, that facilitates the de novo prediction of tissue-specific expression for genes that have no in

SUBMITTER: Samsonova AA 

PROVIDER: S-EPMC1924873 | biostudies-literature | 2007 Jul

REPOSITORIES: biostudies-literature