For these reasons, we examined evolution of WNV by using genomic sequences from 1999 2009.
Parallel to the rapid increase in availability of diverse DNA sequence data, highly labor-intensive methods for the generation of SSR genomic markers (e.g. [ 25, 26]) have been gradually replaced by in silico data mining approaches using genomic sequence databases (e.g. [ 4, 27, 28], but see [ 29]).
Unlike most of existing methods, which only use several genome information, our method measures the evolutionary relationship among various groups of species by using genomic information of sequence, function, and structure.
By using genomic and EST sequences we can now state that C. elegans has a single Syn gene, composed of 7 exons, giving rise to two different transcripts, Cesnn1a and Cesnn1b.
The INI1 and NF2 genes were sequenced by using genomic DNA as substrate for amplification by PCR.
Our main emphasis was to unravel the important metabolite genes by using genomic and transcriptomic data despite limited sequencing information.
The dif-related sequences were identified by using genomic similarity search tools, such as the Basic Local Alignment Search Tool BLASTT) (http://www.ncbi.nlm.nih.gov/sutils/genom_table.cgi) [57] and the YASS DNA pairwise alignment tool (http://bioinfo.lifl.fr/yass/yass.php) [58].
Sequences were obtained by using genomic DNA hybridizations on a custom P. glauca chip containing oligonucleotide baits for 23,864 genes.
By using the genomic sequence of several related genomes, it is possible to infer how conserved a potential binding sites is, and thus to have a higher confidence in the conserved predicted sites versus the non-conserved sites [3].
The remaining genomic sequences were determined by using genome walking.
