Search for a star: (Record no. 4328)

000 -LEADER
fixed length control field 02012nam a22003497a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 130925b2012 ph ||||| |||| 00| 0 eng d
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 1908-1995
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Edition number 21
Classification number 050/Ab76
085 ## - SYNTHESIZED CLASSIFICATION NUMBER COMPONENTS
Number where instructions are found-single number or beginning number of span AI 050/Ab76
089 ## -
-- 21
-- AI 050/Ab76
040 ## - CATALOGING SOURCE
Transcribing agency
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Aborot, Jeffrey A.
245 ## - TITLE STATEMENT
Title Search for a star:
Remainder of title approximate gene cluster discovery problem (AGCDP) as minimization problem on graph./
246 ## - VARYING FORM OF TITLE
Title proper/short title Philippine Computing Journal.
300 ## - PHYSICAL DESCRIPTION
Extent vol. 7, 3 figs., 2 tables, refs.
362 ## - DATES OF PUBLICATION AND/OR SEQUENTIAL DESIGNATION
Dates of publication and/or sequential designation vol. 7, no. 2 (December, 2012):1-11.
520 ## - SUMMARY, ETC.
Summary, etc. Finding gene clusters in genomes is an essential process in establishing relationship among organisms. Gene clusters may express functional dependencies among genes and may give insight into expression of specific traits. The problem of finding gene clusters among several genomes is referred to as Gene Cluster Discovery and several models have already been formulated for its definition. One formulation of this problem in is the Approximate Gene Cluster Discovery Problem (AGCDP) which is modeled as a combinatorial optimization problem in some works. In this paper we propose an approach which produces a transformation of AGCDP into a minimum-weight star finding problem in graph. Detailed examples are also presented to further clarify the notion of the transformation. Proof of equivalence is also presented in the paper to show the equivalence of input parameters of AGCDP and the construction of the graph representing the input parameters to the problem.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element GENE.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element GENOME.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element GENE CLUSTER.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element GENE CONTENT.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element LINEAR INTERVAL.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element MINIMIZATION.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element MINIMUM-WEIGHT STAR.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element COMBINATORIAL OPTIMIZATION.
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Adorna, Henry.
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Clemente, Jhoirene B.
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name de Jesus, Brian Kenneth.
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Solano, Geoffrey.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Periodicals Journal Bound
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Permanent Location Current Location Shelving location Date acquired Full call number Date last seen Price effective from Koha item type
          GC College Library College Library Periodical Section 2013-09-25 AI 050/Ab76 2013-09-25 2013-09-25 Periodicals Journal Bound