Nucleic Acids Research, Vol 24, Issue 17 3437-3438, Copyright © 1996 by Oxford University Press
M Tabler, P Benos and M Dorr
From a library of nucleic acid molecules, which are randomized in parts of
their sequence, unique sequence variants can be selected for specific
properties. The planning of such an in vitro selection experiment requires
some consideration regarding how much DNA template or RNA transcript should
be used initially. The amount applied depends on the number of randomized
nucleotides and on the expectations of how often each conceivable and
unique sequence combination should be represented in the experimental pool.
We display graphs describing the probability for the representation of
unique nucleic acid molecules in a randomized pool as a function of the
mean representation k, defined by the ratio of sampled nucleic acid
molecules to conceivable sequence combinations and we summarize the amounts
required to represent unique sequences with 99% likelihood. The probability
of representation, P = 1- e-k, can be applied also to 'sub-saturated' pools
(k < 1) of nucleic acids with long randomized domains, where it is
impossible to provide sufficient material for full sequence representation.
ARTICLES
Representation of unique sequences in libraries of randomized nucleic acids
Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology, Hellas, Greece.
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