Sentence examples for database was explored from inspiring English sources

The Oncomine database was explored for TrxR1 (TXNRD1) expression in breast tumors and TrxR1, ER and p53 expression was analyzed by immunohistochemistry in a panel of breast tumors.

The SEER database was explored from 1973 to 2009 to identify all cases of pathologically proven MPM within the site recode ICD-O-3 variable by ICD-O-3 morphology.

English (PubMed, Scopus, Google Scholar, Web of Science, Science Direct, EBSCO, and Ovid) and Persian (Scientific Information Database and Magiran) databases were explored.

Also, diverse databases were explored throughout the present work (data downloaded in September 2009): eukarYOtic ortholoGY (YOGY, www.sanger.ac.uk/PostGenomics/S_pombe/YOGY), Saccharomyces Genome Database (SGD, www.yeastgenome.org), YEASTRACT (www.yeastract.com), PubMed (www.ncbi.nlm.nih.gov), BLAST (www.ncbi.nlm.nih.gov/blast/Blast.cgi), and UniProt (www.uniprot.org).org

Six databases were explored from 2000 up to December 2013.

Protein and mRNA databases were explored to correlate TARS expression with ovarian cancer.

To locate peer-reviewed documents, Academic Search Complete and PubMed databases were explored using specific search terms.

Additionally, MEROPS 9.11 [ 38] and CAZy [ 39] databases were explored to further annotate the functions of proteases and carbohydrate active enzymes.

Electronic databases were explored from their respective inceptions to July 2010; MEDLINE, AMED, EMBASE, CINAHL, five Korean Medical Databases Korean Studies Informationn, DBPIA, Korea Institute of Science and Technology Information, KoreaMed, and Research Information Service System), Chinese Medical Databases (China National Knowledge Infrastructure: CNKI) and the Cochrane Library.

Many databases were explored to predict the targets of miRNAs by either seed sequence complementary or thermodynamic algorithm [ 20- 23], however these databases only provide the possibility of predicting direct target-relationship miRNA-mRNA pairs and can not predict disease-specific pairs in a specific disease.

Further, Gene Expression Omnibus (GEO) database (25) was explored to identify articles that report high-throughput experiments related to hypoxia.