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CBD:结直肠癌的生物标志物数据库。

CBD: a biomarker database for colorectal cancer.

机构信息

School of Medicine, Institute of Medical Sciences, Örebro University, SE 70182 Örebro, Sweden.

Centre for Systems Biology, Soochow University, Suzhou 215006, China.

出版信息

Database (Oxford). 2018 Jan 1;2018. doi: 10.1093/database/bay046.

DOI:10.1093/database/bay046
PMID:29846545
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6007224/
Abstract

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.Database URL: http://sysbio.suda.edu.cn/CBD/.

摘要

结直肠癌(CRC)生物标志物数据库(CBD)是基于从 1986 年至 2017 年在 PubMed 上发表的 1115 篇原始文章中鉴定的 870 个 CRC 生物标志物及其相关信息而建立的。在这个版本的 CBD 中,收集、分类、显示和分析了 CRC 生物标志物数据。作为一个强大且节省时间的工具,具有可靠内容的 CBD 为进一步的 CRC 生物标志物研究提供了更全面和准确的信息。CBD 是在 MySQL 服务器下构建的。HTML、PHP 和 JavaScript 语言被用于实现网页界面。选择 Apache 作为 HTTP 服务器。所有这些网络操作都是在 Windows 系统下实现的。CBD 可以为用户提供多个单独的生物标志物信息,并将其分类为生物标志物的生物类别、来源和应用;实验方法、结果、作者和出版物资源;研究区域、队列的平均年龄、性别、种族、肿瘤数量、肿瘤位置和分期。我们只从结果明确且可靠的文章中收集数据,以证明生物标志物在 CRC 的诊断、治疗或预后中是有用的。CBD 还可以为有兴趣进行 CRC 研究的研究人员提供一个专业的平台,进行交流、交流他们的研究思路,并进一步设计 CRC 中的高质量研究。他们可以通过提交页面将他们的新发现提交到我们的数据库中,并在 CBD 中与我们进行交流。数据库网址:http://sysbio.suda.edu.cn/CBD/。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/898e/6007224/82b4722789e2/bay046f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/898e/6007224/8e63df538459/bay046f1.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/898e/6007224/82b4722789e2/bay046f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/898e/6007224/8e63df538459/bay046f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/898e/6007224/e4f66a2be042/bay046f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/898e/6007224/ec85ec4eee24/bay046f3a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/898e/6007224/a5de2f1c4d81/bay046f4.jpg
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The STRING database in 2017: quality-controlled protein-protein association networks, made broadly accessible.
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