title: EST databases and web tools for EST projects.
abstract: This chapter outlines key considerations for constructing and implementing an EST database. Instead of showing the technological details step by step, emphasis is put on the design of an EST database suited to the specific needs of EST projects and how to choose the most suitable tools. Using TBestDB as an example, we illustrate the essential factors to be considered for database construction and the steps for data population and annotation. This process employs technologies such as PostgreSQL, Perl, and PHP to build the database and interface, and tools such as AutoFACT for data processing and annotation. We discuss these in comparison to other available technologies and tools, and explain the reasons for our choices.
authors.affiliation: Robert-Cedergren Centre for Bioinformatics and Genomics, Département de Biochimie, Université de Montréal, Montréal, Québec, Canada.
authors.forename: Yao-Qing
authors.initials: YQ
authors.lastname: Shen
authors.forename: Emmet
authors.initials: E
authors.lastname: O'Brien
authors.forename: Liisa
authors.initials: L
authors.lastname: Koski
authors.forename: B Franz
authors.initials: BF
authors.lastname: Lang
authors.forename: Gertraud
authors.initials: G
authors.lastname: Burger
mesh_terms: D000818:Animals; D019295:Computational Biology / Q000379:methods*; D003201:Computers; D030541:Databases, Genetic / Q000639:trends; D001330:Electronic Data Processing; D020224:Expressed Sequence Tags; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods; D020407:Internet; D011381:Programming Languages; D012984:Software