Paper 43

Generated: Mon Oct 15 05:03:03 2001

43 - Title BIOINFORMATICS AND BIOLOGICAL DATABASES
Authors Birep Aygün, Işık Üniversitesi, Maslak , Istanbul
PC Member No
Contact person Birep Aygün, baygun@isikun.edu.tr, 0212 2862960
Main Fields 12. Medikal Bilisim
Other Main Fields
Abstract + Keywords Modern biology, in particular genomic research, is data and computation intensive. In biology in general and in
genomic research in particular, it is nowadays common practice to build up and to query large databases of
biological data. Most biological databases are accessible through the Web.Most biological databases offer
application specific software tools for data analyses. Added value is key to the production of a stable base and the need to link these databases together,
and to link other databases back to these resource services - culture collections etc. is always stressed.
As important as it is to have links to other international collections, in this era it is indispensable to establish
national biological databases for a country's plant, animal and human gene pools.
Bioinformatics is a newly emerging interdisciplinary research area, which may be defined as the interface between
biological and computational sciences. Thus, people working in this field in most cases either have training in
biology or computer science, and they learn about the other field by dealing with problems or using the tools of the
other one. This scientific field deals with the computational management of all kinds of biological information,
whether it may be about genes and their products, whole organisms or even ecological systems. Most of the
bioinformatics work that is being done can be described as analysing biological data, although a growing number of
projects deal with the organisation of biological information.
Database support for scientific data management also needs attention. Requirements and properties of scientific
databases; data models for statistical and scientific databases; semantic and object-oriented modelling of
application domains; statistical database query languages and query optimisation; advanced logic languages;
and case studies such as the human genome project and earth orbiting satellite are some topics that should be
urgently included in curricula.
Remarks

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43 - Title	BIOINFORMATICS AND BIOLOGICAL DATABASES
Authors	Birep Aygün, Işık Üniversitesi, Maslak , Istanbul
PC Member	No
Contact person	Birep Aygün, baygun@isikun.edu.tr, 0212 2862960
Main Fields	12. Medikal Bilisim
Other Main Fields
Abstract + Keywords	Modern biology, in particular genomic research, is data and computation intensive. In biology in general and in genomic research in particular, it is nowadays common practice to build up and to query large databases of biological data. Most biological databases are accessible through the Web.Most biological databases offer application specific software tools for data analyses. Added value is key to the production of a stable base and the need to link these databases together, and to link other databases back to these resource services - culture collections etc. is always stressed. As important as it is to have links to other international collections, in this era it is indispensable to establish national biological databases for a country's plant, animal and human gene pools. Bioinformatics is a newly emerging interdisciplinary research area, which may be defined as the interface between biological and computational sciences. Thus, people working in this field in most cases either have training in biology or computer science, and they learn about the other field by dealing with problems or using the tools of the other one. This scientific field deals with the computational management of all kinds of biological information, whether it may be about genes and their products, whole organisms or even ecological systems. Most of the bioinformatics work that is being done can be described as analysing biological data, although a growing number of projects deal with the organisation of biological information. Database support for scientific data management also needs attention. Requirements and properties of scientific databases; data models for statistical and scientific databases; semantic and object-oriented modelling of application domains; statistical database query languages and query optimisation; advanced logic languages; and case studies such as the human genome project and earth orbiting satellite are some topics that should be urgently included in curricula.
Remarks