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Volumn 9, Issue 3, 2016, Pages 343-352

Omics databases on kidney disease: Where they can be found and how to benefit from them

Author keywords

Bioinformatics; Data integration; Kidney disease; Omics databases; System biology

Indexed keywords

BIOINFORMATICS; CLINICAL RESEARCH; DATA BASE; FUNCTIONAL GENOMICS; HUMAN; KIDNEY DISEASE; PATHOPHYSIOLOGY; PRIORITY JOURNAL; PROTEOMICS; RESEARCH; REVIEW; TRANSCRIPTOMICS;

EID: 84978982715     PISSN: 20488505     EISSN: 20488513     Source Type: Journal    
DOI: 10.1093/ckj/sfv155     Document Type: Review
Times cited : (35)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.