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Data modeling for sequence quality c...

Meng, Yan.

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Data modeling for sequence quality control and assembly of a cDNA library.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Data modeling for sequence quality control and assembly of a cDNA library./
Author:	Meng, Yan.
Description:	103 p.
Notes:	Adviser: Gregory Butler.
Contained By:	Masters Abstracts International41-06.
Subject:	Computer Science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MQ77717
ISBN:	0612777170

Data modeling for sequence quality control and assembly of a cDNA library.
Meng, Yan.

Data modeling for sequence quality control and assembly of a cDNA library. - 103 p.

Adviser: Gregory Butler.

Thesis (M.Comp.Sc.)--Concordia University (Canada), 2003.

Much scientific data can be characterized by properties like complexity, large volume, low update frequency, and indefinite retention, which brings up some different issues than those found in conventional business environments. There are a number of influences that should guide the development of data models in bioinformatics. These range from experience of the scientific database community across a range of disciplines, the current best practice in bioinformatics system, available data models and schemas, the impact of emerging standards, and the trend towards ontologies. Influenced by them, I have developed a conceptual object data model for the sequencing quality control and assembly pipeline for the genomics project creating a cDNA library for <italic>Aspergillus niger</italic> and implemented it using the relational database MySQL. This experience is summarized in a set of Guidelines for data modeling in bioinformatics.

ISBN: 0612777170Subjects--Topical Terms:

626642
Computer Science.

Data modeling for sequence quality control and assembly of a cDNA library.
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100 1 $a Meng, Yan. $3 1253308
245 1 0 $a Data modeling for sequence quality control and assembly of a cDNA library.
300 $a 103 p.
500 $a Adviser: Gregory Butler.
500 $a Source: Masters Abstracts International, Volume: 41-06, page: 1755.
502 $a Thesis (M.Comp.Sc.)--Concordia University (Canada), 2003.
520 $a Much scientific data can be characterized by properties like complexity, large volume, low update frequency, and indefinite retention, which brings up some different issues than those found in conventional business environments. There are a number of influences that should guide the development of data models in bioinformatics. These range from experience of the scientific database community across a range of disciplines, the current best practice in bioinformatics system, available data models and schemas, the impact of emerging standards, and the trend towards ontologies. Influenced by them, I have developed a conceptual object data model for the sequencing quality control and assembly pipeline for the genomics project creating a cDNA library for <italic>Aspergillus niger</italic> and implemented it using the relational database MySQL. This experience is summarized in a set of Guidelines for data modeling in bioinformatics.
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773 0 $t Masters Abstracts International $g 41-06.
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790 1 0 $a Butler, Gregory, $e advisor
791 $a M.Comp.Sc.
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856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MQ77717