There is substantial interest in implementing technologies that allow compa
risons of whole genomes of individuals and of tissues and cell populations.
Restriction landmark genome scanning (RLGS) is a highly resolving gel-base
d technique in which several thousand fragments in genomic digests are Visu
alized simultaneously and quantitatively analyzed. The widespread use of RL
GS has been hampered by difficulty in deriving sequence information for dis
played fragments and a lack of whole-genome sequence-based framework for in
terpreting RLGS patterns. We have developed informatics tools for compariso
ns of sample derived RLGS patterns with patterns predicted from the human g
enome sequence and displayed as Virtual Genome Scans (VGS). The tools devel
oped allow sequence prediction of fragments in RLGS patterns obtained with
different restriction enzyme combinations. The utility of VGS is demonstrat
ed by the identification of restriction fragment length polymorphisms, and
of amplifications, deletions, and methylation changes in tumor-derived CpG
islands and the characterization of an amplified region in a breast tumor t
hat spanned < 230 kb on 17q23.