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Since the Arabidopsis genome was completed [ 1], advanced sequencing technology has facilitated the whole genome sequencing of many plants of commercial or experimental importance [ 2- 4].
Large scale genome-wide omics analysis and advanced sequencing technology have fuelled the generation of gene sets that need to be interpreted and understood quickly and comprehensively.
Advanced sequencing technology has dramatically enriched data available for constructing phylogenetic trees based on single nucleotide polymorphisms (SNPs).
Our primary objective is further testing of the existence of subtype-specific prognostic markers using data from a more advanced sequencing technology.
Two years later, the same genome was resequenced utilizing more advanced sequencing technology and analytical methods resulting in the detection of a previously unidentified frameshift deletion in DNMT3A.
In general, biological sequence data are accumulating rapidly as a result of advanced sequencing technology and concerted genome projects, at a greater rate than growth in computing efficiency.
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With the overwhelming growth of genome sequence data produced by rapidly advancing sequencing technologies, the challenge of correctly determining functions of encoded proteins becomes ever more evident.
Advances in sequencing technology have significantly advanced the landscape of developmental biology research.
Advanced DNA sequencing technology now allows for rapid sequencing of the genomes of these industrial strains to identify the mutations that confer improved phenotypes.
Recent studies have discovered further miRNAs by large-scale sequencing based on recent advances in sequencing technology [ 4- 8].
Advances in sequencing technology and availability of longer read lengths might further reduce the need for enzymatic primer digestion.
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