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Furthermore, in studies of non-model organisms, less sequence data are available and the number of quantifiable genes is typically lower.

Here we describe the sequencing of restriction-site associated DNA (RAD) tags, which identified more than 13,000 SNPs, and mapped three traits in two model organisms, using less than half the capacity of one Illumina sequencing run.

While functional genomic studies have provided detailed information regarding the genetic basis of a number of traits in model organisms, much less is known regarding how polymorphism at these loci contributes to adaptation in natural populations.

"Some circadian rhythm genes we identified have been studied in model organisms, but much less so in humans," said David Hinds, Ph.D, a Principal Scientist and Statistical Geneticist at 23andMe.

This practice also encourages the selection of model organisms that exhibit less plasticity (Bolker 1995).

Rachita Sharma et al. noticed that many regulatory network information has already been determined experimentally for model organisms, but much less has been identified for non-model organisms.

The physiology of model organisms is often less well understood than their genetics (phenotypic gap), but is essential to the understanding of gene function.

Some regulatory network information has already been determined experimentally for model organisms, but much less has been identified for non-model organisms, and the limited amount of gene expression data available for non-model organisms makes inference of regulatory networks difficult.

High-throughput projects that map protein-protein interactions in model organisms were first initiated less than a decade ago, including those for Saccharomyces cerevisiae, (resulted in the detection of 957 putative interactions involving 1,004 proteins) [ 2], Drosophila melanogaster (20,405 interactions from 7048 proteins), Caenorhabditis elegans (~5,500 interactions), and Mus musculus [ 3- 5].

Last but not least, one of the advantages of sequenced-based experiments is that they are equally applicable to the study of well-annotated model organisms as well as less-studied non-model organisms since little or no a priori genome knowledge is required.

Although the genes essential for life have been identified in less complex model organisms, their elucidation in human cells has been hindered by technical barriers.

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