Modeling and Prediction of Marine Microbial Populations in the Genomic era
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چکیده
The articles in this special issue attest to the fact that we are in the early stages of a scientific revolution in marine microbiology that is being fueled by vast quantities of new information derived from advances in microbiological techniques and genomic studies. Many new species, metabolic processes, and pathways in marine systems have recently been discovered. Subtle metabolic variations within and among species have also been revealed, and previously known genes and metabolisms have been detected in new environments. And this is just the tip of the iceberg. Using genome shotgun sequencing techniques, Venter et al. (2004) report finding 148 previously unknown bacterial phylotypes and over 1.2 million previously unknown genes, including more than 782 new rhodopsinlike photoreceptors (Figure 1)—just from surface-water samples from the
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Comparing Different Marker Densities and Various Reference Populations Using Pedigree-Marker Best Linear Unbiased Prediction (BLUP) Model
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Genomic selection combines statistical methods with genomic data to predict genetic values for complex traits. The accuracy of prediction of genetic values in selected population has a great effect on the success of this selection method. Accuracy of genomic prediction is highly dependent on the statistical model used to estimate marker effects in reference population. Various factors such a...
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تاریخ انتشار 2007