GeneMarker DNA Fragment Sizing Methods for Capillary Electrophoresis (CE) Data
As CE separation technology now achieves fragments in excess of 1000 bp, GeneMarker has a new sizing technology in addition to the traditional Local Southern, Cubic Spline and third order least squares for the middle fragments. These traditional methods provide highly accurate sizing for 50 – 600 bp, (ILS™600, ILS™500, GeneScan™HD400ROX™, GeneScan™500LIZ®-or 500ROX™, GeneScan™600, CEQ™400, CEQ™600, ET™400-R, ET™550-R) but have significant difficulties obtaining accurate size calls for data in excess of 800 bp, due to the nonlinear migration of larger DNA fragments.
Our “Large-Size” sizing technology provides accurate, linear sizing, one bp-resolution, using a DNA derivative migration time correction on fragments range from 30-1400bp (GeneScan™1200LIZ®) from ABI PRISM®, Beckman CEQ™ or MegaBACE™ genetic analyzers.
The “Large-Size” technology provides cost-reducing multiplexing opportunities, such as the addition of 4x-probes to clinical assays such as MLPA®, Allele Specific Amplification (ARMs™, ASA, OLA, etc.) forensic and ecology analysis including TILLING®, STR/microsatellite profiles, AFLP, T-RFLP, VNTR, ARISA, MLVA and BAC-fingerprinting.
Size Calibration Charts for review of Sizing Quality for all samples. Easily edit/update sizing calls for capillaries with decreased quality. Save or print the calibration charts for documentation of sizing quality for the project.
Download New Technology Size Calling application note
Trademarks property of their respective owners
GeneMarker Applications:
MLPA® (Multiplex Ligation‐dependent Probe Amplification)
MS‐MLPA®
Trisomy Analysis
Macromolecule Analysis Tool
ARMs & Comparative Analysis (Cystic Fibrosis Analysis)
MSI (Microsatellite Instability) Analysis
Merge Project
Kinship Analysis of Wild Populations and data base
AFLP
t‐RFLP
Microsatellite (SSR, STR, VNTR)
MLVA
SBE/ SnapShot®
Cluster Analysis
TILLING® & EcoTilling with slabgel or capillary data
SNPWave®/SNPlex®
Haplotype Analysis
Loss of Heterozygosity Analysis (LOH)
|
