Computational approaches based on single genomes, including the identification of likely splice sites [ 1], integrated models [ 2], and hidden Markov models such as GENSCAN [ 3] have been developed to identify a large number of genes [ 4].
The lowest GCVAR are found in the phylum of the aquatic Planctomycetes, but this group is only based on one single genome, therefore no conclusions can be assumed at the phylum level.
It has recently been shown that the use of complete mtDNA genome sequences provide better statistical support in phylogenetic reconstructions when compared to analyses based on single genes or partial genomes (e.g. [ 57– 60]).
Genome analyses based on single nucleotide polymorphisms (SNPs) in the core genome indicated that VRE carried by each of the three residents were unrelated.
This study aimed to analyze the efficiency of three new microsatellite multiplex panels, which were designed to evaluate a total of 16 loci of the rice genome, based on single PCR reactions of each panel.
The availability of an increasing number of reference genomes associated with a decreasing sequencing cost per base enabled also the analysis of genome variations based on single nucleotide polymorphisms (SNP) discovery.
Those results were based on single marker-trait associations in a genome-scan to identify broad chromosomal regions potentially containing genes affecting traits of interest.
Phylogenetic analysis was performed based on single nucleotide polymorphism positions of the core genome against the reference strain LT2.
The fixed-content arrays are useful for taking advantage of the high resolution genetic map of the human genome that is based on single nucleotide polymorphisms [ 1, 1], which define DNA blocks (haplotypes) [ 1].
However, a screen of 24 recent genome scan papers based on single nucleotide polymorphisms (SNPs), including most such studies currently available, suggests that the above issue is not generally recognized.
