Data processing: database and file management or data structures – Database design – Data structure types
Reexamination Certificate
2000-06-16
2001-10-16
Allen, Marianne P. (Department: 1631)
Data processing: database and file management or data structures
Database design
Data structure types
C702S020000, C707S793000, C707S793000, C707S793000
Reexamination Certificate
active
06304868
ABSTRACT:
This invention concerns a method of grouping sequences in families.
Large quantities of protein sequence data are generated today in molecular biology. A major problem here is how to group such protein sequence data logically in biological families. Since families are not defined exactly, but instead the diversity of different gene families varies, this involves a problem in data grouping which is not at all trivial.
In the past, biological information could only be of assistance for human experts who would thoroughly research the output of database searching programs and would create a grouping according to families. This method is time-consuming, labor-intensive and not very reproducible.
Therefore, the object of this invention is to find a method with which a large set of protein sequences can be divided into groups fully automatically.
This object is achieved with the features of Patent Claim
1
.
REFERENCES:
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Murzin et al. Distant homology recognition using structural classification of proteins. Proteins, Suppl. 1, pp.105-112, 1997.*
Altschul et al. Gapped BLAST and PSI-BLAST: a new geneeration of protein database search programs. Nucleic Acids Research, Vol. 25(7), pp. 3389-3402, (Sep. 1, 1997).*
Pearson et al. Improved tools for biological sequence comparison. Proc. Natl. Acad. Sci, Vol. 85(8), pp.2444-8 (1988).*
Harris et al. XP-002091600. “Class X: A Browsing Tool for Protein Sequence Megaclassifications” pp. 554-563 (1993).
XP-002091665. Abstract. “Mega-Classification: discovering motifs in massive datastreams” . Harris et al. (1992).
Harris et al., N.L. et al., “ClassX: a browsing for protein sequence megaclassifications” PROCEEDING OF THE TWENTY-SIX HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES (CAT NO. 93TH0501-7), WAILEA, HI, USA, JAN 5-8. 1993, pp. 554-563, vol. 1, XP002091600 ISBN 8-8186-3230-5, 1993, Los Alamitos, CA, USA, IEEE, USA).
Krause Antje
Vingron Martin
Allen Marianne P.
Deutsches Krebsforschungszentrum Stiftung des off. Rechts
Fuierer Marianne
Hultquist Steven J.
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