Mayumi Kato
ABSTRACT
Bioinfomatics is a bright new field, and is defined as a science of developing computer databases and algorithms for the purpose of speeding up and enhancing biological research. The mapping of the human genome was officially completed in June of 2000, and DNA sequence has been completed in April 2003. The key issue of next era in Bioinfomatics is to interpret data for our purpose. Biological research uses a huge volume of data, the DNA sequence, the nature of the process's pattern searching, complex calculations and sorted data subsets. The pattern searching has been studied in data mining community to extract characteristics from databases, which may be text strings and/or primary sequence information. The text strings consists of entry, organism, or gene names, and authors. Primary sequence information includes restriction enzyme cut sites, regulatory patterns ("signal") and known functional or structural pattern's (motifs). The pattern searching covers simple one-dimensional pattern text searches, regular pattern expressions, to neural nets and genetic algorithms. A visualization technique offers visual data interpretation to the Bioinfomatics. Cluster, grid computing and/or parallel computation are introduced to share database called data banks and to speed up the searching over databases. The large distributed databases need methods of inquiry and access over the networks. The VRML, cellML, AnatML, and FiledML have been designed to access cluster GRID computing. The web-based and GRID computing offers tools for easy data access and integration to facilitate biological researches in the next era. The Computer Science has provided background technologies to Bioinfomatics in a variety of fields. We study Bioinfomatics researches and products and show growing adaptation of Computer Science in Bioinfomatics.
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Index Terms
- Growing adaptation of computer science in Bioinfomatics
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