A wealth of molecular resources have been developed for rice genomics, incl
uding dense genetic maps, expressed sequence tags (ESTs), yeast artificial
chromosome maps, bacterial artificial chromosome (BBC) libraries and BAC en
d sequence databases, Integration of genetic and physical maps involves lab
or-intensive empirical experiments. To accelerate the integration of the ba
cterial clone resources with the genetic map for the International Rice Gen
ome Sequencing Project, we cleaned and filtered the available EST and BAC e
nd sequences for repetitive sequences and then searched all available rice
genetic markers with our filtered databases. We identified 418 genetic mark
ers that aligned with at least one BBC-end sequence with >95% sequence iden
tity, providing a set of large insert clones with an average separation of
1 Mb that can serve as nucleation points for the: sequencing phase of the I
nternational Rice-Genome Sequencing Project.