Refer a new customer to UBI by clicking on the button below and when
your friend orders products over
$300 (excluding taxes and shipping) the first time, you both
receive a $20 gift card to Tim Horton's! Also, every time
you refer a friend, you are automatically entered in a
contest to receive a $500 pre paid VISA. Enter as many
times as you like! Contest ends on June 15, 2008.
Dr. Don Merlo, Senior Research Scientist,
Molecular Biology group for Dow AgroSciences said
“OptGene™ combines a whole suite of gene design and
analysis packages into one user-friendly and
user-customizable program that replaces three programs
that I used previously.
Major Features:
Follows molecular biologists typical work flow
for optimizing DNA.
Extremely easy to use and understand.
Purpose built for designing DNA for
high expression in transgenic organisms.
Saves hundreds of hours and helps
avoid expensive mistakes.
Production of genetically modified organisms to achieve higher
productivity, disease resistance and other desirable properties is
still based on naturally occurring gene sequences. Naturally
occurring sequences prove futile in modern biotechnology with the
increased focus on safety requirements for recombinant products
and at the same time higher flexibility in protein design. These
gene sequences seldom meet the ever growing demand for optimized
yields in heterogeneous systems.
OptGene™ is a novel gene optimizing tool that optimizes
naturally occurring genes to achieve higher productivity, at the
same time giving higher flexibility for protein design. The tool
optimizes the genes using only the sequence information and the
choice of expression system. OptGene™ allows the researcher to
adapt genes and their products precisely to their specific
requirements. OptGene™ achieves optimization through:
Adaptation of codon usage to that of host.
Directed Mutagenesis.
Introduction of restriction sites.
Knockout of cryptic splice sites, RNA destabilizing
sequences and other undesirable sequence signals.
Removal of secondary structures in RNA.
Reduction of transcription regions in unused frames.