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Global Pattern Recognition™ (GPR) Data Analysis Tool
Simple and accurate analysis of real-time PCR data using Bar Harbor Biotechnology, Inc's Global Pattern Recognition™ Software
Bar Harbor BioTechnology, Inc. has solved one of the most fundamental problems facing experimentation using Real-Time PCR.
How do I analyze the data and determine REAL changes in gene expression? The answer to this question is found in Bar Harbor BioTechnology, Inc.'s patent pending Global Pattern
Recognition™ Algorithm, which makes gene expression analysis simple, fast and reliable.
Global Pattern Recognition™ Software provides a true statistical analysis of results based on consistency in the data, which makes Global Pattern Recognition™ Software optimally
suited to detect small, but reproducible changes. Only after the genes are statistically ranked is the magnitude of the change calculated. A typical experiment would utilize
'biological replicates' (Bio-Reps). Bio-Reps are defined as samples collected from separate and closely matched biological samples. They are processed individually under
closely matched conditions. Advisedly, it is best to analyze at least 3 bio-reps in each of two groups, representing for example '3 sick vs. 3 healthy' or '3 treated vs. 3 untreated'
groups (but Global Pattern Recognition™ Software can handle much larger data sets). Global Pattern Recognition™ Software processes the data derived from groups of Bio-Reps and reveals
the 'constellation' of changing genes. Each constellation can be evaluated for the most likely biological context providing the researcher with a better understanding of the overall
results. Just as early sea navigators used the stars to triangulate their position on the ocean, Global Pattern Recognition™ Software globally positions the expression level of each gene
with respect to all genes within an experiment. This can be done without prior assumption that a gene (normalizer) has an invariant expression level. Global Pattern Recognition™ Software
is unbiased in that it enables the experimental data to define the invariant normalizer genes, not the experimenter. The use of any gene as a potential normalizer also maximizes the
use of the limited real-estate on a StellARray™ Plate by eliminating the loss of wells used to contain potentially erroneously predefined normalizers.
Global Pattern Recognition™ Software is extremely simple to use and reliably tabulates statistical significance (p-value) of gene expression changes on the fly allowing you to
immediately focus on the real biology. Simply log into GPR, select the StellARray™ Product that you ran on your real-time PCR instrument, upload your data and submit for analysis. An
HTML or Excel® formatted file will be generated that gives a ranked list of genes by p-value, fold change value, and links to MGI and NCBI gene pages. With each purchase of
a StellARray™ Pack your account will receive analysis query credits sufficient to analyze each plate.
The latest version GPR 2.0 provides new features such as report on normalizer genes selected for analysis, information on CT values for every gene on plate,
gDNA contamination scores and, as alternative to GPR analysis, conventional ΔΔCt analysis using 18S as normalizer gene.
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