Literature DB >> 14630661

TSGDB: a database system for tumor suppressor genes.

Yanming Yang1, Li M Fu.   

Abstract

UNLABELLED: A Web-based database system was constructed and implemented that contains 174 tumor suppressor genes. The database homepage was created to accommodate these genes in a pull-down window so that each gene can be viewed individually in a separate Web page. Information displayed on each page includes gene name, aliases, source organism, chromosome location, expression cells/tissues, gene structure, protein size, gene functions and major reference sources. Queries to the database can be conducted through a user-friendly interface, and query results are returned in the HTML format on dynamically generated web pages. AVAILABILITY: The database is available at http://www.cise.ufl.edu/~yy1/HTML-TSGDB/Homepage.html (data files also at http://www.patcar.org/Databases/Tumor_Suppressor_Genes)

Entities:  

Mesh：

Year:  2003        PMID： 14630661     DOI： 10.1093/bioinformatics/btg300

Source DB:  PubMed          Journal:  Bioinformatics        ISSN： 1367-4803            Impact factor:   6.937


  9 in total

1.  Extracting consistent knowledge from highly inconsistent cancer gene data sources.

Authors:  Xue Gong; Ruihong Wu; Yuannv Zhang; Wenyuan Zhao; Lixin Cheng; Yunyan Gu; Lin Zhang; Jing Wang; Jing Zhu; Zheng Guo
Journal:  BMC Bioinformatics       Date:  2010-02-05       Impact factor: 3.169

2.  Investigation gene and microRNA expression in glioblastoma.

Authors:  Hua Dong; Hoicheong Siu; Li Luo; Xiangzhong Fang; Li Jin; Momiao Xiong
Journal:  BMC Genomics       Date:  2010-12-01       Impact factor: 3.969

3.  CGMD: An integrated database of cancer genes and markers.

Authors:  Jangampalli Adi Pradeepkiran; Sri Bhashyam Sainath; Konidala Kramthi Kumar; Lokanada Balasubramanyam; Kodali Vidya Prabhakar; Matcha Bhaskar
Journal:  Sci Rep       Date:  2015-07-10       Impact factor: 4.379

4.  Integrated analysis of mutation data from various sources identifies key genes and signaling pathways in hepatocellular carcinoma.

Authors:  Yuannv Zhang; Zhaoping Qiu; Lin Wei; Ruqi Tang; Baofeng Lian; Yingjun Zhao; Xianghuo He; Lu Xie
Journal:  PLoS One       Date:  2014-07-02       Impact factor: 3.240

5.  Insights into long noncoding RNAs of naked mole rat (Heterocephalus glaber) and their potential association with cancer resistance.

Authors:  Jian-Jun Jiang; Le-Hua Cheng; Huan Wu; Yong-Han He; Qing-Peng Kong
Journal:  Epigenetics Chromatin       Date:  2016-11-10       Impact factor: 4.954

6.  Pitfalls in experimental designs for characterizing the transcriptional, methylational and copy number changes of oncogenes and tumor suppressor genes.

Authors:  Yuannv Zhang; Jiguang Xia; Yujing Zhang; Yao Qin; Da Yang; Lishuang Qi; Wenyuan Zhao; Chenguang Wang; Zheng Guo
Journal:  PLoS One       Date:  2013-03-05       Impact factor: 3.240

7.  An integrated approach to uncover driver genes in breast cancer methylation genomes.

Authors:  Xiaopei Shen; Shan Li; Lin Zhang; Hongdong Li; Guini Hong; Xianxiao Zhou; Tingting Zheng; Wenjing Zhang; Chunxiang Hao; Tongwei Shi; Chunyang Liu; Zheng Guo
Journal:  PLoS One       Date:  2013-04-08       Impact factor: 3.240

8.  TSGene: a web resource for tumor suppressor genes.

Authors:  Min Zhao; Jingchun Sun; Zhongming Zhao
Journal:  Nucleic Acids Res       Date:  2012-10-12       Impact factor: 16.971

9.  Genes dysregulated to different extent or oppositely in estrogen receptor-positive and estrogen receptor-negative breast cancers.

Authors:  Xianxiao Zhou; Tongwei Shi; Bailiang Li; Yuannv Zhang; Xiaopei Shen; Hongdong Li; Guini Hong; Chunyang Liu; Zheng Guo
Journal:  PLoS One       Date:  2013-07-18       Impact factor: 3.240
  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.