The de novo Prediction of Functionally Significant Sequence Motifs in Arabidopsis thaliana.

This thesis performs de novo predictions for functionally significant sequence motifs in the Arabidopsis genome under two separate contexts. Each study applies the use of genomic positional information, statistical over-representation and several biologically contextual filters to maximize the visi...

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Bibliographic Details
Main Author: Austin, Ryan
Other Authors: Provart, Nicholas
Language:en_ca
Published: 2009
Subjects:
Online Access:http://hdl.handle.net/1807/19021