ANALYSIS OF A POLYMER FROM MULTI-DIMENSIONAL MEASUREMENTS
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Mar 17, 2015
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Mar 21, 2014
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Abstract
A target sequence of polymer units is estimated from plural series of measurements taken from sequences of polymer units that comprise the target sequence or a complementary sequence. Each measurement is dependent on a k-mer (k polymer units). Models treat the measurements as observations of k-mer states, comprising transition weightings in respect of transitions between successive k-mer states and emission weightings for different measurements being observed. An estimated alignment mapping between the plural series of measurements is derived based on an application of the models to each series. An estimate of the target sequence of polymer units is generated by applying the models, treating the types of k-mer state of each model and the measurements as dimensions of a plural dimensional k-mer state and plural dimensional observations. Constraint of paths through the plural dimensional k-mer states using the derived alignment mapping greatly reduces the required processing.
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