Abstract
The brain is the ultimate genetic system to which a large number of genes are devoted. To extract and visualize biological information from such large data sets accumulated in the post-sequencing era, the use of bioinformatics would be a very powerful means. To understand the genetic basis of mouse cerebellar postnatal development, we have analyzed the whole transcription or gene expression (transcriptome) during the developmental stages on a genome-wide basis, and have systematized the spatio-temporal gene expression profile information in a comprehensive database (Cerebellar Development Transcriptome [CDT] database) from a bioinformatics point of view. This CDT database would open up a new field for deciphering the genetic blueprint for cerebellar development.
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Sato, A. et al. (2004). Deciphering the Genetic Blueprint of Cerebellar Development by the Gene Expression Profiling Informatics. In: Pal, N.R., Kasabov, N., Mudi, R.K., Pal, S., Parui, S.K. (eds) Neural Information Processing. ICONIP 2004. Lecture Notes in Computer Science, vol 3316. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30499-9_135
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DOI: https://doi.org/10.1007/978-3-540-30499-9_135
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