Literature DB >> 23749755

Creating databases for biological information: an introduction.

Lincoln Stein1.   

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, relational databases, and NoSQL databases. It compares their strengths and weaknesses and offers some general guidelines for selecting an appropriate database management system. Copyright 2013 by JohnWiley & Sons, Inc.

Mesh:

Year:  2013        PMID: 23749755     DOI: 10.1002/0471250953.bi0901s42

Source DB:  PubMed          Journal:  Curr Protoc Bioinformatics        ISSN: 1934-3396


  3 in total

1.  Cellular phenotype database: a repository for systems microscopy data.

Authors:  Catherine Kirsanova; Alvis Brazma; Gabriella Rustici; Ugis Sarkans
Journal:  Bioinformatics       Date:  2015-04-09       Impact factor: 6.937

2.  yStreX: yeast stress expression database.

Authors:  Kwanjeera Wanichthanarak; Intawat Nookaew; Dina Petranovic
Journal:  Database (Oxford)       Date:  2014-07-14       Impact factor: 3.451

3.  IsoPlot: a database for comparison of mRNA isoforms in fruit fly and mosquitoes.

Authors:  I-Man Ng; Jia-Hsin Huang; Shang-Chi Tsai; Huai-Kuang Tsai
Journal:  Database (Oxford)       Date:  2017-01-01       Impact factor: 3.451

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.