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CBD: a biomarker database for colorectal cancer
Orebro Univ, Sweden; Soochow Univ, Peoples R China.
Linköping University, Department of Clinical and Experimental Medicine, Division of Surgery, Orthopedics and Oncology. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Center for Surgery, Orthopaedics and Cancer Treatment, Department of Oncology.
Orebro Univ, Sweden; Karolinska Inst, Sweden.
Soochow Univ, Peoples R China.
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2018 (English)In: Database: The Journal of Biological Databases and Curation, ISSN 1758-0463, E-ISSN 1758-0463, Vol. 2018, no 1 January 2018, article id bay046Article in journal (Refereed) Published
Abstract [en]

Colorectal cancer (CRC) biomarker database (CBD) was established based on 870 identified CRC biomarkers and their relevant information from 1115 original articles in PubMed published from 1986 to 2017. In this version of the CBD, CRC biomarker data were collected, sorted, displayed and analysed. The CBD with the credible contents as a powerful and time-saving tool provide more comprehensive and accurate information for further CRC biomarker research. The CBD was constructed under MySQL server. HTML, PHP and JavaScript languages have been used to implement the web interface. The Apache was selected as HTTP server. All of these web operations were implemented under the Windows system. The CBD could provide to users the multiple individual biomarker information and categorized into the biological category, source and application of biomarkers; the experiment methods, results, authors and publication resources; the research region, the average age of cohort, gender, race, the number of tumours, tumour location and stage. We only collect data from the articles with clear and credible results to prove the biomarkers are useful in the diagnosis, treatment or prognosis of CRC. The CBD can also provide a professional platform to researchers who are interested in CRC research to communicate, exchange their research ideas and further design high-quality research in CRC. They can submit their new findings to our database via the submission page and communicate with us in the CBD.

Place, publisher, year, edition, pages
OXFORD UNIV PRESS , 2018. Vol. 2018, no 1 January 2018, article id bay046
National Category
Bioinformatics (Computational Biology)
Identifiers
URN: urn:nbn:se:liu:diva-149736DOI: 10.1093/database/bay046ISI: 000436293800001PubMedID: 29846545OAI: oai:DiVA.org:liu-149736DiVA, id: diva2:1234371
Note

Funding Agencies|Swedish Cancer Foundation; Swedish Research Council

Available from: 2018-07-24 Created: 2018-07-24 Last updated: 2018-08-14

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Sun, Xiao-Feng
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Division of Surgery, Orthopedics and OncologyFaculty of Medicine and Health SciencesDepartment of Oncology
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