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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.
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