Many tools based on DNA re-sequencing exist for identification of single nucleotide polymorphisms, small insertions and deletions (indels) as well as large deletions.
Several large-scale efforts have attempted to identify SNPs that may have an effect on splicing (ElSharawy et al. 2006; Hull et al. 2007; Nembaware et al. 2008) and a number of tools exist for identification of splicing-related genomic elements (Cartegni et al. 2003; Thierry-Mieg and Thierry-Mieg 2006).
Preventive strategies are limited; no biomarker exists for pretreatment identification of patients likely to be severely affected.
Thus, an urgent need exists for the identification of molecular signatures of melanoma progression which can be used to develop accurate prognostic markers and effective targeted therapies.
Thus, a clear need exists for early identification of patients that would relapse or fail to respond.
Therapeutic potential thus exists for the identification of lesions within the ubiquitin cycle that can be targeted by small molecule-based approaches.
These results suggest that considerable discordance between A1C, FPG, and 2-PG exists for the identification of individuals with prediabetes and that the cardiometabolic risk profile of these individuals varies by metabolic parameter, with 2-PG showing the stronger association with cardiometabolic risk factors and subclinical atherosclerosis than FPG or A1C.
Despite routine screening requirements for the notifiable fish pathogen Gyrodactylus salaris, no standard operating procedure exists for its rapid identification and discrimination from other species of Gyrodactylus.
Importantly, no pathognomonic test exists for the early identification and diagnosis of KD (Dedeoglu & Sundel, 2007; Gedalia, 2007).
Therefore, a strong need exists for robust network identification of non-linear systems in the presence of high system variability, while also being able to incorporate relevant biological information.
