标题： Minerva和minepy：MINE套件的C引擎及其R、Python和MATLAB包装器 显示英文标题

标题： Minerva and minepy: a C engine for the MINE suite and its R, Python and MATLAB wrappers

摘要： 我们介绍了一种ANSI C的新实现，用于MINE算法家族，以在大型数据集中计算两个变量之间基于最大信息的依赖性度量，旨在具有低内存占用和易于集成到生物信息学流程中。 我们提供了minerva库（带有R接口）和minepy库，适用于Python、MATLAB、Octave和C++。 C语言解决方案减少了原始Java实现的大内存需求，具有良好的扩展性，并为R接口提供原生并行化。 在MINE基准测试以及大型（n=1340）微阵列和Illumina GAII RNA-seq转录组学数据集上展示了低内存需求。 可用性和实现：源代码和二进制文件可在GPL3许可下免费下载，minepy的地址为http://minepy.sourceforge.net，R包minerva的地址为CRAN仓库http://cran.r-project.org。 所有软件都是跨平台的（MS Windows、Linux和OSX）。 显示英文摘要

摘要： We introduce a novel implementation in ANSI C of the MINE family of algorithms for computing maximal information-based measures of dependence between two variables in large datasets, with the aim of a low memory footprint and ease of integration within bioinformatics pipelines. We provide the libraries minerva (with the R interface) and minepy for Python, MATLAB, Octave and C++. The C solution reduces the large memory requirement of the original Java implementation, has good upscaling properties, and offers a native parallelization for the R interface. Low memory requirements are demonstrated on the MINE benchmarks as well as on large (n=1340) microarray and Illumina GAII RNA-seq transcriptomics datasets. Availability and Implementation: Source code and binaries are freely available for download under GPL3 licence at http://minepy.sourceforge.net for minepy and through the CRAN repository http://cran.r-project.org for the R package minerva. All software is multiplatform (MS Windows, Linux and OSX).