Organizing, exploring, and analyzing antibody sequence data: the case for relational-database managers.
Technological advances in the acquisition of DNA and protein sequence information and the resulting onrush of data can quickly overwhelm the scientist unprepared for the volume of information that must be evaluated and carefully dissected to discover its significance. Few laboratories have the luxury of dedicated personnel to organize, analyze, or consistently record a mix of arriving sequence data. A methodology based on a modern relational-database manager is presented that is both a natural storage vessel for antibody sequence information and a conduit for organizing and exploring sequence data and accompanying annotation text. The expertise necessary to implement such a plan is equal to that required by electronic word processors or spreadsheet applications. Antibody sequence projects maintained as independent databases are selectively unified by the relational-database manager into larger database families that contribute to local analyses, reports, interactive HTML pages, or exported to facilities dedicated to sophisticated sequence analysis techniques. Database files are transposable among current versions of Microsoft, Macintosh, and UNIX operating systems.
Owens
John
J
NCI-Frederick, National Institutes of Health, Frederick, MD, USA.
D000595:Amino Acid Sequence; D000906:Antibodies / Q000737:chemistry*; D001483:Base Sequence; D003628:Database Management Systems; D030562:Databases, Protein; D008969:Molecular Sequence Data; D020539:Sequence Analysis, Protein / Q000379:methods*; D012984:Software
D000906:Antibodies