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ASAP: automated sequence annotation pipeline for web-based updating of sequence information with a local dynamic database.

TitleASAP: automated sequence annotation pipeline for web-based updating of sequence information with a local dynamic database.
Publication TypeJournal Article
Year of Publication2003
AuthorsKossenkov, A, Manion, FJ, Korotkov, E, Moloshok, TD, Ochs, MF
JournalBioinformatics
Volume19
Issue5
Pagination675-6
Date Published2003 Mar 22
ISSN1367-4803
KeywordsDatabase Management Systems, Databases, Nucleic Acid, Documentation, Expressed Sequence Tags, Information Storage and Retrieval, Internet, Sequence Alignment, Sequence Analysis, DNA
Abstract

The automated sequence annotation pipeline (ASAP) is designed to ease routine investigation of new functional annotations on unknown sequences, such as expressed sequence tags (ESTs), through querying of web-accessible resources and maintenance of a local database. The system allows easy use of the output from one search as the input for a new search, as well as the filtering of results. The database is used to store formats and parameters and information for parsing data from web sites. The database permits easy updating of format information should a site modify the format of a query or of a returned web page.

Alternate JournalBioinformatics
PubMed ID12651736
Grant ListCA06927 / CA / NCI NIH HHS / United States
People: 
Frank Manion
University of Michigan Rogel Cancer Center at North Campus Research Complex
1600 Huron Parkway, Bldg 100, Rm 1004 
Mailing Address: 2800 Plymouth Rd, NCRC 100-1004
Ann Arbor, MI 48109-2800 

Research reported in this publication was supported by the National Cancer Institutes of
Health under Award Number P30CA046592. The content is solely the responsibility
of the authors and does not necessarily represent the official views of the
National Institutes of Health.

Research reported in this publication was supported by the National Cancer Institutes of
Health under Award Number P30CA046592 by the use of the following Cancer Center
Shared Resource(s): Biostatistics, Analytics & Bioinformatics; Flow Cytometry;
Transgenic Animal Models; Tissue and Molecular Pathology; Structure & Drug
Screening; Cell & Tissue Imaging; Experimental Irradiation; Preclinical
Imaging & Computational Analysis; Health Communications; Immune Monitoring;
Pharmacokinetics)

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