System for analyzing expression profile and program thereof

Abstract

Provided is a system for analyzing an expression profile whereby a great deal of expression profile data obtained by using a next-generation high-speed sequencer or a similar experimental technique is analyzed at a high speed with a computer commonly employed and thus the gene expression patterns are visualized to thereby easily analyze to what gene a novel gene is similar in function. A system for analyzing an expression profile whereby gene expression profile data is analyzed, which comprises: a memory unit for regarding the count of mRNAs, that have been expressed from a subject gene to be evaluated under each of a plural number of gene expression conditions, as expression data and memorizing the expression data with respect to the name of each subject gene; a correspondence analysis unit for reading out the expression data of each subject gene from the memory unit and conducting correspondence analysis on the basis of the count under each of the expression conditions in the expression data; a coordinate conversion unit for converting n-dimensional scores obtained by the correspondence analysis (wherein n represents a positive integer) into coordinate values for m-dimensionally assigning each gene (wherein m is a positive integer that is less than or equal to n); and an image processing unit for plotting the corresponding coordinate values with respect to each gene and displaying the plot in an image display unit.

Description

technical field [0001] The present invention relates to a discovery curve analysis system and a program for analyzing the discovery curve of a genetic gene and the like. This application claims priority based on Japanese Patent Application No. 2009-063273 filed in Japan on March 16, 2009, the contents of which are incorporated herein by reference. Background technique [0002] With the progress of genome analysis research, a large number of new genetic genes with unknown functions have been identified, and their functions must be clarified. In order to obtain information revealing their functions, the conditions corresponding to the discovery conditions (information indicating the conditions for the discovery of genetic genes) are used. patterns of genetic discovery. [0003] For this purpose, a process is carried out by EST, MPSS, SAGE, CAGE, etc., in which a large number (tens of thousands of levels) of genetic genes obtained from disease patients, tissues or cultured cel...

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Problems solved by technology

[0030] The result is that, for example, it is extremely difficult to detect inherited genes associated with quantified traits

That is, in this method, when the phenotype to be detected is not qualitative but quantitative, it is impossible to detect a gene whose ratio of the amount of discovery of the gene among the genes related to the phenotype changes very little

That is, in the existing method, it is impossible to detect all the genes related to the phenotype of the target

[0031] As mentioned above, in the current analysis situation, since there is no point of view such as discovering all the genetic genes with very little change, in the existing analysis method (logarithmic transformation), there is no need to analyze the trace amount of heredity. Gene discovery has lower detection power than the question itself

[0032] In addition, there is a high possibility that important new genetic genes are included among the genes related to quantitative traits that could not be detected before

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