Sequencing of reduced representation library (RRL), which further reduces the sequencing cost by only sequencing representative parts of the complex genome, can rapidly detect thousands of SNP loci [ 23].
Finally, comprehensive performance for ranging code is determined by the sequence cost function R i through weighted fitting, i.e., begin{array}rcl@ R_{i}=sum_{j=1}^{5}rho_{j}frac{{cv}_{i,j}-overline{{cv}_{j}}}{overline{{cv}_{j}}},quad i=1,2,cdots end{array} (22).
The sequencing cost $50,000.
In the E. coli example using 36nt reads, increasing the raw coverage from 40× to 100× would increase the sequencing costs by a factor of 2.5 without changing the duration of this phase.
This drastically reduces the sequencing costs, in our case by 1/3.
Following the release of Mt3.5 and catalyzed by the plummeting sequencing costs, we embarked upon a new whole genome shotgun sequencing using Illumina technology to produce a more complete and accurate assembly of the entire genome.
There has been renewed interest in the use of the 23S rRNA gene, driven by the decrease in sequencing costs with next generation DNA sequencing technology (454 sequencing) and demand from the new Roadmap Initiative in the Human Microbiome Project (http://nihroadmap.nih.gov/hmp/).
With the reduction of sequencing cost brought by advanced generation sequencing approach, SNPs are becoming the first choice for construction of high-density genetic linkage map, in which the average marker interval can reach < 1 cM, thus providing more accurate foundation for discovery of functional genes and analysis of genome structure [ 48].
Increasing the sequencing depth was hindered by high sequencing costs, thereby preventing the method to become a broad application.
However, the advent of Next Generation Sequencing (NGS), by decreasing sequencing costs of a factor 1,000 [ 1], provided the opportunity to sequence the genomes of new organisms (new-models) at different stages of completion.
