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US 2017/0372004 A1Published application
Methods for classifying organisms based on dna or protein sequences
AssigneeAgBiome, Inc.
InventorsJames R. Henriksen, Daniel J. Tomso
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Abstract
Methods for classifying organisms using whole or partial genome sequence data are provided. The methods use DNA or protein sequence data and clustering algorithms to assign organisms a protein morphotype (‘pmorph’) based on a given clustering parameter. Pmorphs can be generated quickly from whole genome sequence data, even at draft sequence quality levels, and can resolve fine differences between related organisms. In this manner, organisms can be classified and duplicate organisms within a collection can be identified.
Claims21
A method of classifying organisms comprising:
- (a) generating a distance measurement between at least two organisms, wherein the distance measurement is generated by comparing whole or partial genomic DNA sequence data or predicted amino acid sequences from at least 2 organisms;
- (b) clustering said organisms based on the distance measurements;
- and,
- (c) classifying the organisms based on the clustering in step (b).
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