OpenElectrophy: An Electrophysiological Data- and Analysis-Sharing Framework.
OpenElectrophy: An Electrophysiological Data- and Analysis-Sharing Framework.
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DOI：
10.3389/neuro.11.014.2009
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发表时间：
2009
影响因子：
3.5
通讯作者：
Fourcaud-Trocmé N
中科院分区：
文献类型：
--
作者：
Garcia S;Fourcaud-Trocmé N
实验工具和设计的进步使得获取越来越大的数据集成为可能。存储、处理和高效分析如此大量的数据现在是一个首要问题。我们提出了OpenElectric，这是一个为填补这一利基而开发的电生理数据和分析共享框架。它将所有实验数据和元数据存储在一个中央MySQL数据库中，并提供了一个可视化和探索数据的图形用户界面，以及一个用于使用Python编写用户分析脚本的函数库。它实现了多种尖峰排序方法，以及基于Roux等人提出的脊线提取方法的振荡检测。OpenElectric是开放源码的，可从免费下载。
Progress in experimental tools and design is allowing the acquisition of increasingly large datasets. Storage, manipulation and efficient analyses of such large amounts of data is now a primary issue. We present OpenElectrophy, an electrophysiological data- and analysis-sharing framework developed to fill this niche. It stores all experiment data and meta-data in a single central MySQL database, and provides a graphic user interface to visualize and explore the data, and a library of functions for user analysis scripting in Python. It implements multiple spike-sorting methods, and oscillation detection based on the ridge extraction methods due to Roux et al.. OpenElectrophy is open source and is freely available for download at .