Computer Science Department, Brigham Young University, Provo, Utah, USA.
Bioinformatics. 2010 Feb 1;26(3):423-5. doi: 10.1093/bioinformatics/btp661. Epub 2009 Dec 4.
Many online sources of gene interaction networks supply rich visual data regarding gene pathways that can aid in the study of biological processes, disease research and drug discovery. PathGen incorporates data from several sources to create transitive connections that span multiple gene interaction databases. Results are displayed in a comprehensible graphical format, showing gene interaction type and strength, database source and microarray expression data. These features make PathGen a valuable tool for in silico discovery of novel gene interaction pathways, which can be experimentally tested and verified. The usefulness of PathGen interaction analyses was validated using genes connected to the altered facial development related to Down syndrome.
http://dna.cs.byu.edu/pathgen.
Supplementary data are available at Bioinformatics online. Further information is available at http://dna.cs.byu.edu/pathgen/PathGenSupplemental.pdf.
许多在线基因交互网络资源提供了丰富的基因通路可视化数据，可辅助生物过程研究、疾病研究和药物发现。PathGen 整合了多个来源的数据，创建了跨越多个基因交互数据库的传递关系。结果以易于理解的图形格式显示，展示了基因交互类型和强度、数据库来源和微阵列表达数据。这些功能使 PathGen 成为在计算机上发现新的基因交互途径的有价值的工具，可以对其进行实验测试和验证。PathGen 交互分析的有效性使用与唐氏综合征相关的面部发育改变相关的基因进行了验证。
http://dna.cs.byu.edu/pathgen。
补充数据可在 Bioinformatics 在线获取。更多信息可在 http://dna.cs.byu.edu/pathgen/PathGenSupplemental.pdf 获取。
