Center for Evolutionary Medicine and Informatics, Biodesign Institute, Arizona State University (ASU), Tempe, AZ 85287, USA, Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA 02138, USA, School of Computing, Informatics, and Decision Systems Engineering, ASU, Tempe, AZ 85287, USA, School of Life Sciences, ASU, Tempe, AZ 85287, USA and Center of Excellence in Genomic Medicine Research, King Abdulaziz University, Jeddah, Saudi Arabia.
Bioinformatics. 2014 May 1;30(9):1319-21. doi: 10.1093/bioinformatics/btu007. Epub 2014 Jan 9.
Spatial patterns of gene expression are of key importance in understanding developmental networks. Using in situ hybridization, many laboratories are generating images to describe these spatial patterns and to test biological hypotheses. To facilitate such analyses, we have developed biologist-centric software (myFX) that contains computational methods to automatically process and analyze images depicting embryonic gene expression in the fruit fly Drosophila melanogaster. It facilitates creating digital descriptions of spatial patterns in images and enables measurements of pattern similarity and visualization of expression across genes and developmental stages. myFX interacts directly with the online FlyExpress database, which allows users to search thousands of existing patterns to find co-expressed genes by image comparison.
基因表达的空间模式对于理解发育网络至关重要。许多实验室使用原位杂交技术生成图像来描述这些空间模式并验证生物学假说。为了便于进行此类分析,我们开发了以生物学家为中心的软件(myFX),其中包含用于自动处理和分析显示果蝇胚胎基因表达的图像的计算方法。它可以方便地创建图像中空间模式的数字描述,并能够测量模式相似性以及跨基因和发育阶段可视化表达。myFX 可以直接与在线 FlyExpress 数据库交互,用户可以通过图像比较搜索数千个现有的模式,以找到共表达的基因。