Daniel W Allison

US Patent:

20040126782, Jul 1, 2004

Filed:

Jun 30, 2003

Appl. No.:

10/611414

Inventors:

David Holden - Burlingame CA, US
XiaoPing Zhang - Mississauga CA, US
Daniel Allison - Indianapolis IN, US
Austin Tomaney - San Francisco CA, US

International Classification:

C12Q001/68
G06F019/00
G01N033/48
G01N033/50

US Classification:

435/006000, 702/020000

Abstract:

A system and methods for evaluating genetic information and biological data applying a clustering approach which may be used for allele calling and genotyping. Statistical analysis of sample data is performed at various levels to develop a model which associates individual data points with selected genotyping clusters and provides a relative indication of the call confidence. The methods provide a unified framework for allele-calling in many different contexts and may be applied to the data acquired from various identification methodologies.

US Patent:

57484910, May 5, 1998

Filed:

Dec 20, 1995

Appl. No.:

8/579204

Inventors:

Daniel B. Allison - Menlo Park CA
James O. Bowlby - San Jose CA

Assignee:

The Perkin-Elmer Corporation - Foster City CA

International Classification:

G06F 1714
G06F 1711

US Classification:

364497

Abstract:

An improved signal processing method in a signal processor for performing the deconvolution of a signal resulting from an analytical separation process is disclosed. In a first aspect, a signal representing a plurality of partially separated sample zones is measured, a point-spread-function of the signal is determined, and the Fourier transform of the signal and the point-spread-function is taken. Next, a noise component n of the signal is determined and the value of a result signal A(f) is calculated using the following filter ##EQU1## where D(f) is the Fourier transform of the signal, P(f) is the Fourier transform of the point-spread-function, and P*(f) is the complex conjugate of P(i). Finally, the inverse Fourier transform of the result A(f) is taken and reported as A(t). Preferably, the point-spread function is a Gaussian function having a standard deviation. sigma. , where. sigma.