Mapping the human genome entails localizing and ordering DNA sequences on the chromosomes. Probe sequences are generally short, e.g. 2-4Kb, and there are well-established statistical methods for the analysis of short probes. Recently, the placement of longer DNA sequences, such as 250Kb YACs or 1Mb MegaYACs, has become important in the physical mapping chromosomes. However, the established statistical methods are not applicable to these larger probes. This proposal introduces a new chromosome mapping approach termed Inner Product Mapping (IPM), which can be used for mapping DNA sequences of any size. Inner Product Mapping of a chromosome uses the standard table of radiation hybrid versus probe comparisons, together with a table that characterizes where radiation hybrid fragments reside on the chromosome. These two data tables can be experimentally determined at relatively low cost. When the tables are multiplied together as matrices under a suitable inner product, the chromosome map of the markers is generated. We propose to determine the effectiveness and utility of the IPM algorithm, and to develop software that assists investigators in the use of IPM.

Agency
National Institute of Health (NIH)
Institute
National Human Genome Research Institute (NHGRI)
Type
Exploratory/Developmental Grants (R21)
Project #
5R21HG000856-02
Application #
2209095
Study Section
Mammalian Genetics Study Section (MGN)
Project Start
1993-04-01
Project End
1995-03-31
Budget Start
1994-04-01
Budget End
1995-03-31
Support Year
2
Fiscal Year
1994
Total Cost
Indirect Cost
Name
Carnegie-Mellon University
Department
Biostatistics & Other Math Sci
Type
Schools of Arts and Sciences
DUNS #
052184116
City
Pittsburgh
State
PA
Country
United States
Zip Code
15213