文件名称:AKToolbox_1.6
- 所属分类：
- 医药行业
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2014-04-22
- 文件大小：
- 264kb
- 下载次数：
- 0次
- 提 供 者：
- chengxi*******
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
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.
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.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
AKtoolbox_1.6\AKalnid.m
.............\AKalnread.m
.............\AKdca.m
.............\AKdealign.m
.............\AKeig.m
.............\AKelsc.m
.............\AKlinereg.m
.............\AKlogr.m
.............\AKmcbasc.m
.............\AKmi.m
.............\AKmsarnd.m
.............\AKnwalign.m
.............\AKomes.m
.............\AKrca.m
.............\AKsca.m
.............\AKsecstruct.m
.............\AKseqread.m
.............\AKseqwrite.m
.............\AKsquareform.m
.............\AKsubplot.m
.............\AKtrimgap.m
.............\CRY1
.............\....\1U3D.dssp
.............\....\1U3D.pdb
.............\....\CRY1.fasta
.............\Contents.m
.............\license.txt
.............\logr.c
.............\logr.dll
.............\logr.m
.............\logr.mexa64
.............\logr.mexglx
.............\logr.mexmaci
.............\logr.mexmaci64
.............\logr.mexw32
.............\logr.mexw64
.............\private
.............\.......\McLanchlan.m
.............\.......\blosum100.m
.............\.......\blosum30.m
.............\.......\blosum35.m
.............\.......\blosum40.m
.............\.......\blosum45.m
.............\.......\blosum50.m
.............\.......\blosum55.m
.............\.......\blosum60.m
.............\.......\blosum62.m
.............\.......\blosum65.m
.............\.......\blosum70.m
.............\.......\blosum75.m
.............\.......\blosum80.m
.............\.......\blosum85.m
.............\.......\blosum90.m
.............\.......\blosumn.m
.............\.......\dayhoff.m
.............\.......\gonnet.m
.............\.......\identity.m
.............\.......\match.m
.............\.......\meansm.m
.............\.......\nuc42.m
.............\.......\nuc44.m
.............\.......\pam10.m
.............\.......\pam100.m
.............\.......\pam110.m
.............\.......\pam120.m
.............\.......\pam120cdi.m
.............\.......\pam130.m
.............\.......\pam140.m
.............\.......\pam150.m
.............\.......\pam160.m
.............\.......\pam160cdi.m
.............\.......\pam170.m
.............\.......\pam180.m
.............\.......\pam190.m
.............\.......\pam20.m
.............\.......\pam200.m
.............\.......\pam200cdi.m
.............\.......\pam210.m
.............\.......\pam220.m
.............\.......\pam230.m
.............\.......\pam240.m
.............\.......\pam250.m
.............\.......\pam250cdi.m
.............\.......\pam260.m
.............\.......\pam270.m
.............\.......\pam280.m
.............\.......\pam290.m
.............\.......\pam30.m
.............\.......\pam300.m
.............\.......\pam310.m
.............\.......\pam320.m
.............\.......\pam330.m
.............\.......\pam340.m
.............\.......\pam350.m
.............\.......\pam360.m
.............\.......\pam370.m
.............\.......\pam380.m
.............\.......\pam390.m
.............\.......\pam40.m
.............\.......\pam400.m