RCDB: Renal Cancer Gene Database

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چکیده

منابع مشابه

Renal Gene Expression Database (RGED): a relational database of gene expression profiles in kidney disease

UNLABELLED We present a bioinformatics database named Renal Gene Expression Database (RGED), which contains comprehensive gene expression data sets from renal disease research. The web-based interface of RGED allows users to query the gene expression profiles in various kidney-related samples, including renal cell lines, human kidney tissues and murine model kidneys. Researchers can explore cer...

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Retroviral insertional mutagenesis in mouse hematopoietic tumors provides a potent cancer gene discovery tool in the post-genome-sequence era. To manage multiple high-throughput insertional mutagenesis screening projects, we developed the Retroviral Tagged Cancer Gene Database (RTCGD; http://RTCGD.ncifcrf.gov). A sequence analysis pipeline determines the genomic position of each retroviral inte...

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TissGDB: tissue-specific gene database in cancer

Tissue-specific gene expression is critical in understanding biological processes, physiological conditions, and disease. The identification and appropriate use of tissue-specific genes (TissGenes) will provide important insights into disease mechanisms and organ-specific therapeutic targets. To better understand the tissue-specific features for each cancer type and to advance the discovery of ...

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The database of the Danish Renal Cancer Group

AIM OF THE DATABASE The main purpose of the database of the Danish Renal Cancer Group (DaRenCaData) is to improve the quality of renal cancer treatment in Denmark and secondarily to conduct observational research. STUDY POPULATION DaRenCaData includes all Danish patients with a first-time diagnosis of renal cancer in the Danish National Pathology Registry since August 1, 2010. MAIN VARIABLE...

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Cancer gene expression database (CGED): a database for gene expression profiling with accompanying clinical information of human cancer tissues

Gene expression profiling of cancer tissues is expected to contribute to our understanding of cancer biology as well as developments of new methods of diagnosis and therapy. Our collaborative efforts in Japan have been mainly focused on solid tumors such as breast, colorectal and hepatocellular cancers. The expression data are obtained by a high-throughput RT-PCR technique, and patients are rec...

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ژورنال

عنوان ژورنال: BMC Research Notes

سال: 2012

ISSN: 1756-0500

DOI: 10.1186/1756-0500-5-246