Gene List Significance Index (GLSI) improves our method High Performance Chip Data Analysis dramatically - Quantifying the quality of different lists of analyzed significant genes
Poster Dec 01, 2009
Our gene expression profiling strategy High Performance Chip Data Analysis (HPCDA) was improved with a method for quantifying the quality of different gene lists (GLs) with the new Gene List Significance Index (GLSI). With GLSI it is possible to decide which of two different extracted GLs has highest fraction of true positives, of high fold change or low p-value genes. With GLSI we could empirically optimize HPCDA-Score for ranking genes.
Despite the developments in conventional PCR, the complexity of multiplex Real Time PCR is still limited due to the lack of sufficient detection channels. To achieve high-end multiplexing capacity on standard Real Time PCR machines, Anapa Biotech has developed the MeltPlex® technology (see box on right).READ MORE
Genome-wide association studies (GWAS) have identified more than 100 genetic loci associated with type 2 diabetes. The majority of these are located in the intergenic or intragenic regions suggesting that the implicated variants may alter chromatin conformation. This, in turn, is likely to influence the expression of nearby or more remotely located genes to alter beta cell function. At present, however, detailed molecular and functional analyses are still lacking for most of these variants. We recently analysed one of these loci and mapped five causal variants in an islet-specific enhancer cluster within the STARD10 gene locus. Here, we aimed to understand how these causal variants influence b-cell function by alteration of the chromatin structure of enhancer clusterREAD MORE