Stein, L. (2002) Creating databases for biological information: an introduction. Current protocols in bioinformatics, Chapte. Unit 9.1.
Abstract
The essence of bioinformatics is dealing with large quantities of information. Whether it be sequencing data, microarray data files, mass spectrometric data (e.g., fingerprints), the catalog of strains arising from an insertional mutagenesis project, or even large numbers of PDF files, there inevitably comes a time when the information can simply no longer be managed with files and directories. This is where databases come into play. This unit briefly reviews the characteristics of several database management systems, including flat file, indexed file, and relational databases, as well as ACeDB. It compares their strengths and weaknesses and offers some general guidelines for selecting an appropriate database management system.
| Item Type: | Paper |
|---|---|
| Uncontrolled Keywords: | algorithm article biology computer interface computer program data base documentation factual database information retrieval methodology Algorithms Computational Biology Database Management Systems Databases, Factual Documentation Information Storage and Retrieval Software User-Computer Interface |
| Subjects: | bioinformatics bioinformatics > genomics and proteomics > databases bioinformatics > genomics and proteomics |
| CSHL Authors: | |
| Communities: | CSHL labs > Stein lab |
| Depositing User: | Matt Covey |
| Date: | 2002 |
| Date Deposited: | 30 Oct 2013 19:34 |
| Last Modified: | 30 Oct 2013 19:34 |
| Related URLs: | |
| URI: | https://repository.cshl.edu/id/eprint/28792 |
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