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[Software Engineeringbioinformaticstoolbox

Description: MATlab软件的bioinformatics工具箱详细资料!-MATlab bioinformatics software toolkit detailed information!
Platform: | Size: 2060288 | Author: 龙陈 | Hits:

[Mathimatics-Numerical algorithmsBioinformaticsToolbox3.2

Description: 为用户提供了一个开放的、可扩展的环境,用于在药品研究、遗传工程和其他与基因组、蛋白质等相关的项目中进行原型算法的开发以及应用。-Bioinformatics Toolbox™ offers computational molecular biologists and other research scientists an open and extensible environment in which to explore ideas, prototype new algorithms, and build applications in drug research, genetic engineering, and other genomics and proteomics projects. This bioinformatics software provides access to genomic and proteomic data formats, analysis techniques, and specialized visualizations for genomic and proteomic sequence and microarray analysis. Most Bioinformatics Toolbox functions are implemented in the open MATLAB® language, enabling you to customize the algorithms or develop your own.
Platform: | Size: 53026816 | Author: zhangyuan | Hits:

[matlabMatlab_bioinfomatic_toolbox_tutorial1

Description: maltab 生物信息学工具箱使用教程第一部分-Bioinformatics Toolbox maltab the first part of Tutorial
Platform: | Size: 4096 | Author: sunbo | Hits:

[hospital software systemAKToolbox_1.6

Description: AK工具箱基于Matlab,用于蛋白质多序列比对的共进化分析。 前言 AK工具箱的目标是提供一套独立于Matlab生物信息学工具箱的Matlab函数以对蛋白质多序列比对进行高效的共进化分析。目前,本工具箱提供的共进化分析方法包括SCA(统计耦联关联分析,Statistical Coupling Analysis)、ELSC(Explicit Likelihood of Subset Covariance)、MI(互信息,Mutual Information)、OMES(Observed Minus Expected Square)、McBASC(残基相关分析,McLanhlan? Based Substitution Correlation)以及DCA(直接关联分析,Direct-Coupling Analysis)。 -AK Toolbox is a Matlab Toolbox for co-evolution analysis for protein Multiple Sequence Alignment (MSA) distributed under Simplified BSD License. The aim of AK toolbox is to provide a set of Matlab functions, which are independent of Matlab Bioinforamtics Toolbox, for coevolution anaylsis for MSA. At present, co-evolution methods available in this package are Statistical Coupling Analysis (SCA), Explicit Likelihood of Subset Covariance (ELSC), Mutual Information (MI), Observed Minus Expected Square method (OMES), McLanhlan Based Substitution Correlation (MCBASC), Direct-coupling analysis (DCA) and logR. Enclosed in this package is also an archive of different Bioinformatics matrices.
Platform: | Size: 270336 | Author: chengxin zhang | Hits:

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