Accelerating identification of single nucleotide polymorphisms and alignment of clones in genomic sequencing

Number of patents in Portfolio can not be more than 2000

United States of America Patent

PATENT NO 6534293
SERIAL NO

09478189

Stats

ATTORNEY / AGENT: (SPONSORED)

Importance

Loading Importance Indicators... loading....

Abstract

See full text

The present invention is directed to a method of assembling genomic maps of an organism's DNA or portions thereof. A library of an organism's DNA is provided where the individual genomic segments or sequences are found on more than one clone in the library. Representations of the genome are created, and nucleic acid sequence information is generated from the representations. The sequence information is analyzed to determine clone overlap from a representation. The clone overlap and sequence information from different representations is combined to assemble a genomic map of the organism. Once the genomic map is obtained, genomic sequence information from multiple individuals can be applied to the map and compared with one another to identify single nucleotide polymorphisms. These single nucleotide polymorphisms can be detected, and alleles quantified, by conducting (1) a global PCR amplification which creates a genome representation, and (2) a ligation detection reaction process whose ligation products are captured by hybridization to a support.

Loading the Abstract Image... loading....

First Claim

See full text

Family

Loading Family data... loading....

Patent Owner(s)

Patent OwnerAddress
SLOAN-KETTERING INSTITUE FOR CANCER RESEARCH1275 YORK AVENUE NEW YORK NY 10021

International Classification(s)

Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Barany, Francis New York, NY 97 5525
Gerry, Norman P New York, NY 9 457
Kirk, Brian W New York, NY 2 212
Liu, Jianzhao New York, NY 10 219
Paty, Philip B New York, NY 3 217
Zirvi, Monib New York, NY 23 1370

Cited Art Landscape

Load Citation

Patent Citation Ranking

Forward Cite Landscape

Load Citation