Viswanath Lalitha, Housworth Elizabeth A
School of Informatics, Indiana University, Bloomington, Indiana, 47405, USA.
BMC Bioinformatics. 2005 Dec 12;6:297. doi: 10.1186/1471-2105-6-297.
Good statistical models for analyzing and simulating multilocus recombination data exist but are not accessible to many biologists because their use requires reasonably sophisticated mathematical and computational implementation. While some labs have direct access to statisticians or programmers competent to carry out such analyses, many labs do not. We have created a platform independent application with an easy-to-use graphical user interface that will carry out such analyses including the simulations needed to bootstrap confidence intervals for the parameters of interest. This software should make multi-locus techniques accessible to labs that previously relied on less powerful and potentially statistically confounded single interval or double interval techniques.
We introduce InterferenceAnalyzer, an implementation with a user-friendly graphical interface incorporating previously developed algorithms for the analysis and simulation of multilocus recombination data. We demonstrate the use and features of the program with an example of multilocus tetrad data from the mustard plant, Arabidopsis thaliana, and the yeast, Saccharomyces cerevisiae.
InterferenceAnalyzer provides easy access to the powerful and appropriate statistical tools for the multi-locus analysis of genetic data.
存在用于分析和模拟多位点重组数据的良好统计模型，但许多生物学家无法使用，因为其使用需要相当复杂的数学和计算实现。虽然一些实验室可以直接接触到有能力进行此类分析的统计学家或程序员，但许多实验室没有。我们创建了一个独立于平台的应用程序，具有易于使用的图形用户界面，该界面将进行此类分析，包括为感兴趣的参数自展置信区间所需的模拟。该软件应使以前依赖功能较弱且可能存在统计混淆的单区间或双区间技术的实验室能够使用多位点技术。
我们推出了InterferenceAnalyzer，这是一个具有用户友好图形界面的实现，结合了先前开发的用于分析和模拟多位点重组数据的算法。我们以来自芥菜植物拟南芥和酵母酿酒酵母的多位点四分体数据为例，展示了该程序的使用和功能。
InterferenceAnalyzer为遗传数据的多位点分析提供了对强大且合适的统计工具轻松访问的途径。
