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Friday, June 27, 2003

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find related articles. powered by google. BioMedNet Correcting ascertainment bias is no mere entertainment
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"However, Rasmus Nielsen of the Department of Biometrics at Cornell University, notes that, although SNP data offer crucial means to study variability within a population, current methods of SNP discovery introduce an 'ascertainment bias' that pre-empts accurate analysis. Such a bias bears significantly on the estimation of the recombination rate, among other things, which is a measure of the interdependence between different positions of the genome.

"We have moved rapidly beyond the mere sequencing of the genome, towards a study of variability through the study of SNPs," says Nielsen. "We have large data sets of several hundred thousand SNPs but they can not be used in standard analyses because of the protocols used in their discovery.""

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Bioinformatics will be at the core of biology in the 21st century. In fields ranging from structural biology to genomics to biomedical imaging, ready access to data and analytical tools are fundamentally changing the way investigators in the life sciences conduct research and approach problems. Complex, computationally intensive biological problems are now being addressed and promise to significantly advance our understanding of biology and medicine. No biological discipline will be unaffected by these technological breakthroughs.


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