Data processing: measuring – calibrating – or testing – Measurement system in a specific environment – Biological or biochemical
Reexamination Certificate
2008-05-09
2011-12-27
Clow, Lori A (Department: 1631)
Data processing: measuring, calibrating, or testing
Measurement system in a specific environment
Biological or biochemical
C702S020000, C435S006120
Reexamination Certificate
active
08086410
ABSTRACT:
A method for detecting DNA variation. First, by aligning trace data of a sample DNA sequence to trace data of a reference DNA sequence to produce an aligned sample DNA sequence. Then, inputting the trace data of the bases of both the reference DNA sequence and the aligned sample DNA sequence for a particular frame number into a non-linear mathematical function of an anti-correlation calculation scheme for all the frame numbers. Minimal values will be produced at the particular frame number for DNA base trace data of the aligned sample DNA sequence which are not a variation as compared to the reference DNA sequence. Values above the minimal values will be produced at the particular frame number for DNA base trace data of the aligned sample DNA sequence which are a variation as compared to the reference DNA sequence.
REFERENCES:
patent: 2002/0147548 (2002-10-01), Walther et al.
Bonfield et al. (Nucleic Acids Research (1998) vol. 26, pp. 3404-3409).
Mattocks et al. (Human Mutation (2000) vol. 16, pp. 437-443).
Staden et al. (Bioinformatics:A Practical Guide to the Analysis of Genes and Proteins, Second Edition (2001) Baxevanis and Ouellette, Eds., John Wiley & Sons, Inc.).
Gao Fei
Liu Changsheng
Clow Lori A
Elnitski, Jr. John J.
LandOfFree
Methods of detecting DNA variation in sequence data does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Methods of detecting DNA variation in sequence data, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Methods of detecting DNA variation in sequence data will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-4260444