Traditionally, strong focus exists on identification and control of potential hazards by materials and conditions in process installations applying tools like HAZOP, FTA, LOPA and installing adequate measures.
Currently, no "gold standard" exists for identification of the ocular toxicity prior to its development.
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).
Many tools based on DNA re-sequencing exist for identification of single nucleotide polymorphisms, small insertions and deletions (indels) as well as large deletions.
However, the possibility exists that identification of sex differences in molecular targets and cellular responses in the initial, often less expensive, stages of drug development might identify new targets that could reduce adverse side-effects in clinical testing.
JEV neutralization is not necessarily expected to correlate with genotype given that a single serotype of JEV exists, and that identification of genotypes 1 and 3 was based initially upon the prM gene [ 9, 10], whereas neutralization is mediated primarily through the E protein [ 26].
Thus, great interest exists in the identification of genes of melanoma-specific expression that may lead to new markers to monitor the disease status or to new therapeutic targets.
Because reliable methods to characterize recalcitrance of plant cell walls to saccharification do not yet exist, identification of superior biomass species for ethanol production necessitates screening deconstruction of lignocellulosic biomass by pretreatment and subsequent enzymatic hydrolysis.
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.
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.
