Storing,linking, and mining microarray databases using SRS |
| |
| Authors: | Antoine?Veldhoven Don?de?Lange Marcel?Smid Victor?de Jager Jan?A?Kors Email author" target="_blank">Guido?JensterEmail author |
| |
| Institution: | (1) Department of Urology, Josephine Nefkens Institute, Erasmus MC, P.O. Box 1738, 3000 DR Rotterdam, The Netherlands;(2) Medical Oncology, Erasmus MC, Rotterdam, The Netherlands;(3) Bioinformatics, Erasmus MC, Rotterdam, The Netherlands;(4) Medical Informatics, Erasmus MC, Rotterdam, The Netherlands |
| |
| Abstract: | Background SRS (Sequence Retrieval System) has proven to be a valuable platform for storing, linking, and querying biological databases.
Due to the availability of a broad range of different scientific databases in SRS, it has become a useful platform to incorporate
and mine microarray data to facilitate the analyses of biological questions and non-hypothesis driven quests. Here we report
various solutions and tools for integrating and mining annotated expression data in SRS. |
| |
| Keywords: | |
| 本文献已被 SpringerLink 等数据库收录！ |
|
