Abstract: A method visually and clearly manages and displays a large amount of gene expression data obtained using a large number of DNA chips. The types of DNA chip are displayed in a leftmost column of a matrix, parameters such as times in a time series, treatment methods, types of samples, and the like are displayed in the top row, and expression value data corresponding to the respective cells are displayed as small matrices. Treatment methods or types of samples of Channel 1 and Channel 2 are displayed in the rows and columns of the small matrices. When a cell in a small matrix is clicked, a scatter diagram for corresponding expression value data is displayed.

Abstract: The characteristics of the entire gene group including a plurality of genes can be readily grasped. A plurality of search keys are accepted from a client, and a set of document groups each corresponding to the plurality of the accepted search keys is obtained, referring to a table where correspondence relationships between the search keys and the document groups are recorded. Then, a characteristic word list having the levels of relative importance is prepared in each of the search keys, and a characteristic table is prepared on the basis of the characteristic word lists. Finally, characteristic table is sorted, colored, and displayed.

Abstract: A method for detecting a gene-noncoding region on a genomic DNA to which protein binds. Using fluorescent intensity data obtained with a conventional DNA chip, and based on positional information about the genome and intergenic sequence information, for example, protein binding sites are displayed. A cis element is detected from the sequence of the binding site, and the frequency of appearance of the cis element on the genome is detected. The results are then displayed, and a false-positive determination is made on the cis element based on the thus displayed results.

Abstract: When making a clinical diagnosis using gene expression profiles or the like obtained from a DNA microarray, multidimensional data is visualized on a scatter chart so that outliers can be identified and the state of classifications can be recognized. A method comprises calculating said separating hyperplane by applying said pattern recognition algorithm to said training set that is entered; displaying the labels of two axes of said scatter chart in two or three dimensions; applying data of which the group it belongs to is unknown to said pattern recognition algorithm as a test set in order to determine the group the data belongs to; displaying a plot representing the data in said training set and a plot representing the data in said test set on a two- or three-dimensional scatter chart, in different manners for individual groups; and displaying said separating hyperplane by mapping it to said scatter chart.

Abstract: In gene expression analysis using DNA chips, the position of a probe on a genome sequence, candidates for splice variants, and the like are displayed in relation to one another. Information on the position of the probe designed for a DNA chip system on the genome sequence is retrieved by connecting to an external database and a server that manage sequence information (genome sequence, mRNA, EST, etc.) and annotation information of various organisms. Further, homologous sequences of a gene for which the probe was designed are detected by homology search program, and the candidates for splice variants obtained from the search are stored in a DNA chip database in relation to expression data.

Abstract: A method visually and clearly manages and displays a large amount of gene expression data obtained using a large number of DNA chips. The types of DNA chip are displayed in a leftmost column of a matrix, parameters such as times in a time series, treatment methods, types of samples, and the like are displayed in the top row, and expression value data corresponding to the respective cells are displayed as small matrices. Treatment methods or types of samples of Channel 1 and Channel 2 are displayed in the rows and columns of the small matrices. When a cell in a small matrix is clicked, a scatter diagram for corresponding expression value data is displayed.