Web Server: Apache HTTP server 2.0.50
CGI: Perl 5.8.4
Programming: Java 1.3
- Your data file should be a tab-delimited ascii text file.
- All fields should be tab ('\t') separated.
- To obtain the best results you might log-transform your data. It is not necesarry to normalize the data, this is done within our system.
- The first column is used to identify the genes in your data file.
- The second column is used to annotate the genes in your data file. If there is no annotation available for a gene, leave it blank.
- All the other columns contain the expression levels as numerical values. If there are some missing values in your data, leave them blank.
- If you have any questions about the data format take a look at an example (use Excel to getter a better view).
- Iyer's data set: [Original site]
Contains mRNA transcript levels during the response of fibroblasts to serum of human cells. It consists of 8600 genes monitored during a 12-point time-series. Only 517 genes survived significance test and used in clustering. Ten clusters were reported by the authors. - Cho's data set : [Original Site]
Contains mRNA transcript levels during the mitotic cell cycle of the budding yeast S. cerevisiae. It consists of 386 genes containing 17 time points. Five cell-cycle phases of genes were reported by the authors. - Spellman's data set : [Original Site]
Contains 6276 mRNA transcript levels during three time-series of the budding yeast S. cerevisiae. 800 cell-cycle regulated genes were identified in 5 cell-cycle phases.- alpha time-series: 18 time points.
- elutriation time-series: 14 time points.
- cdc15 time-series : 24 time points.
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