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  • Ed S Lein, Michael J Hawrylycz, Nancy Ao, Mikael Ayres, Amy Bensinger, Amy Bernard +102 others
  • 2007
Molecular approaches to understanding the functional circuitry of the nervous system promise new insights into the relationship between genes, brain and behaviour. The cellular diversity of the brain necessitates a cellular resolution approach towards understanding the functional genomics of the nervous system. We describe here an anatomically comprehensive(More)
The recent sequencing of the Drosophila genome as a col-laborative effort between the Berkeley Drosophila Ge-nome Project (BDGP) 1 and Celera Genomics provides an unparalleled opportunity to assess the prevalence of human disease gene counterparts in the fly genome (Adams et al., 2000; Rubin et al., 2000). Previous surveys based upon limited data available(More)
We describe a new statistically based algorithm that aligns sequences by means of predictive inference. Using residue frequencies, this Gibbs sampling algorithm iteratively selects alignments in accordance with their conditional probabilities. The newly formed alignments in tum update an evolving residue frequency model. When equilibrium is reached the most(More)
BACKGROUND As the rough draft of the human genome sequence nears a finished product and other genome-sequencing projects accumulate sequence data exponentially, bioinformatics is emerging as an important tool for studies of transposon biology. In particular, L1 elements exhibit a variety of sequence structures after insertion into the human genome that are(More)
Neurogenomics is the study of how the genome as a whole contributes to the evolution, development, structure and function of the nervous system. It includes investigations of how genome products (transcriptomes and proteomes) vary in time and space. Neurogenomics differs markedly from the application of genome sciences to other systems, particularly in the(More)
Applications of next-generation nucleic acid sequencing technologies will lead to the development of precision diagnostics that will, in turn, be a major technology enabler of precision medicine. Terabyte-scale, multidimensional data sets derived using these technologies will be used to reverse engineer the specific disease networks that underlie individual(More)
There is an urgent need for effective genomics education for healthcare professionals. Recent analysis of an experimental genomics curriculum showed that medical students' examinations of their own genotypes provide a valuable learning experience. Such experiential learning has a long tradition in medical education and its application to genomics is enabled(More)
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