Gur, A., Faculty of Agriculture, Hebrew University of Jerusalem, PO Box 12, Rehovot 76100, Israel
Semel, Y., Faculty of Agriculture, Hebrew University of Jerusalem, PO Box 12, Rehovot 76100, Israel
Cahaner, A., Faculty of Agriculture, Hebrew University of Jerusalem, PO Box 12, Rehovot 76100, Israel
Zamir, D., Faculty of Agriculture, Hebrew University of Jerusalem, PO Box 12, Rehovot 76100, Israel
Semel, Y., Faculty of Agriculture, Hebrew University of Jerusalem, PO Box 12, Rehovot 76100, Israel
Cahaner, A., Faculty of Agriculture, Hebrew University of Jerusalem, PO Box 12, Rehovot 76100, Israel
Zamir, D., Faculty of Agriculture, Hebrew University of Jerusalem, PO Box 12, Rehovot 76100, Israel
A current bioinformatic challenge is to include information in genomic databases about subtle phenotypic differences that show continuous distribution in segregating populations. Real Time quantitative trait loci (QTL) present, in silico, a range of statistical and graphical outputs that describe components of the genetic variation using wild species introgression lines of tomato (http://zamir.sgn.cornell.edu/). Yield-associated phenotypes are included in a relational database that enables mapping QTL, viewing associations between traits, and searching for specific combinations of desired phenotypes.
