Is it possible to quantify and rank the quality of several lists of significant genes found with gene expression profiling by different methods?
Poster Sep 30, 2011
Joachim R. Grün (1), Andreas Grützkau (1), Biljana Smiljanovic (1), Thomas Häupl (2), Gerd-Rüdiger Burmester (2), Andreas Radbruch (1)
High Performance Chip Data Analysis (HPCDA) improves expression profiling of Affymetrix chips via Bioretis database: you can easily use the default parameters and are sure to get the optimum of true positive results, independant of number of significant genes in your dataset. Gene List Significance Index (GLSI) quantifies quality of gene lists. With GLSI its easily judged which normalization/analyzing method gives better results. HPCDA score ranks by relevance.
Performance of the D5000 and High Sensitivity D5000 ScreenTape Assays for the 4200 TapeStation SystemPoster
Here, we focus on quantification, sizing, and sensitivity of both D5000 ScreenTape assays.READ MORE
Applications of chemically modified synthetic guide RNA for CRISPR-Cas9 genome editingPoster
Our results indicate that MS modifications are required for experiments with co-electroporation of Cas9 mRNA and synthetic gRNA, yet have no impact on editing efficiency when delivered with lipid-based transfection reagents.READ MORE
Highly Accurate HCV Genotyping by Targeted Next Generation SequencingPoster
The recent fast advancement of next generation sequencing (NGS) technologies allowing for unprecedented speed and accuracy in analyzing viral genomes are opening new ways to further improve diagnostic genotyping of HCV.