Storing, linking, and mining microarray databases using SRS
<p>Abstract</p> <p>Background</p> <p>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 p...
Main Authors: | Kors Jan A, de Jager Victor, Smid Marcel, Lange Don de, Veldhoven Antoine, Jenster Guido |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2005-07-01
|
Series: | BMC Bioinformatics |
Online Access: | http://www.biomedcentral.com/1471-2105/6/192 |
Similar Items
-
CoPub Mapper: mining MEDLINE based on search term co-publication
by: Rullmann Ton, et al.
Published: (2005-03-01) -
‘SRS’ R Package and ‘q2-srs’ QIIME 2 Plugin: Normalization of Microbiome Data Using Scaling with Ranked Subsampling (SRS)
by: Vitor Heidrich, et al.
Published: (2021-12-01) -
Evaluation of Elements Spine SRS Plan Quality for SRS and SBRT Treatment of Spine Metastases
by: Michael Trager, et al.
Published: (2020-04-01) -
ONCOMINE: A Cancer Microarray Database and Integrated Data-Mining Platform
by: Daniel R. Rhodes, et al.
Published: (2004-01-01) -
Smart Repair System (SRS)
by: Nurul Huda, Ramli
Published: (2023)