meme_3.5.4
所属分类:人工智能/神经网络/深度学习
开发工具:Unix_Linux
文件大小:1643KB
下载次数:78
上传日期:2009-03-18 08:50:20
上 传 者:
beyond_9521
说明: EM算法的改进,在此基础上生物信息学的常用工具
(EM algorithm, on the basis of commonly used bioinformatics tools)
文件列表:
meme_3.5.4\aclocal.m4 (30855, 2006-09-22)
meme_3.5.4\AUTHORS (38, 2006-09-22)
meme_3.5.4\bootstrap (1751, 2006-09-22)
meme_3.5.4\ChangeLog (8568, 2006-09-22)
meme_3.5.4\config\config.guess (39715, 2006-09-22)
meme_3.5.4\config\config.sub (29483, 2006-09-22)
meme_3.5.4\config\depcomp (12123, 2006-09-22)
meme_3.5.4\config\install-sh (5569, 2006-09-22)
meme_3.5.4\config\missing (10270, 2006-09-22)
meme_3.5.4\config\mkinstalldirs (1801, 2006-09-22)
meme_3.5.4\config.h (5618, 2008-09-18)
meme_3.5.4\config.h.in (5269, 2006-09-22)
meme_3.5.4\config.log (34140, 2009-03-17)
meme_3.5.4\config.status (41354, 2009-03-17)
meme_3.5.4\configure (224558, 2006-09-22)
meme_3.5.4\configure.ac (15005, 2006-09-22)
meme_3.5.4\COPYING (1904, 2006-09-22)
meme_3.5.4\etc\Makefile (9642, 2009-03-17)
meme_3.5.4\etc\Makefile.am (2702, 2006-09-22)
meme_3.5.4\etc\Makefile.in (9512, 2006-09-22)
meme_3.5.4\etc\mast.doc (17219, 2006-09-22)
meme_3.5.4\etc\mast_db.list (9864, 2006-09-22)
meme_3.5.4\etc\mast_upstream_db.list (1286, 2006-09-22)
meme_3.5.4\etc\meme-explanation.html (17900, 2006-09-22)
meme_3.5.4\etc\meme.csh (738, 2008-09-18)
meme_3.5.4\etc\meme.csh.in (746, 2006-09-22)
meme_3.5.4\etc\meme.darwin.in (855, 2006-09-22)
meme_3.5.4\etc\meme.doc (24426, 2006-09-22)
meme_3.5.4\etc\meme.irix.in (1732, 2006-09-22)
meme_3.5.4\etc\meme.linux (1970, 2008-09-18)
meme_3.5.4\etc\meme.linux.in (1974, 2006-09-22)
meme_3.5.4\etc\meme.sh (1005, 2008-09-18)
meme_3.5.4\etc\meme.sh.in (1013, 2006-09-22)
meme_3.5.4\etc\meme.solaris.in (2027, 2006-09-22)
meme_3.5.4\etc\prior1.plib (314, 2006-09-22)
meme_3.5.4\etc\prior30.plib (9706, 2006-09-22)
meme_3.5.4\etc\StartupParameters.plist (72, 2006-09-22)
meme_3.5.4\INSTALL (566, 2006-09-22)
meme_3.5.4\m4\functions.m4 (1818, 2006-09-22)
meme_3.5.4\m4\headers.m4 (1919, 2006-09-22)
... ...
README
=============================================================================
Introduction
=============================================================================
The MEME system provides online tools for discovering and using protein and
DNA sequence motifs. A motif is a pattern of nucleotides or amino acids that
appears repeatedly in a group of related DNA or protein sequences. The MEME
system represents motifs as position-dependent scoring matrices.
The MEME system consists of two programs which allow you to:
meme - for discovery of motifs shared by a group of sequences and,
mast - for search of databases for sequences containing these motifs.
You can download the ANSI C source code for MEME system from
http://meme.nbcr.net/meme/meme-download.html
You can also use the MEME system via its website at http://meme.nbcr.net
If you use MEME in your research, please cite:
Timothy L. Bailey and Charles Elkan, "Fitting a mixture model
by expectation maximization to discover motifs in biopolymers",
Proceedings of the Second International Conference on Intelligent
Systems for Molecular Biology, (28-36), AAAI Press, 1994.
If you use MAST in your research, please cite:
Timothy L. Bailey and Michael Gribskov, "Combining evidence using
p-values: application to sequence homology searches", Bioinformatics,
14(48-54), 19***.
=============================================================================
Installation
=============================================================================
See INSTALL for operating system requirements, prerequisite software,
and installation instructions.
=============================================================================
Documentation
=============================================================================
Documentation is available online at http://meme.nbcr.net/meme
If you did installation with the --enable-web switch, the html documentation
will be installed in your /web/ directory.
=============================================================================
Using MEME/MAST
=============================================================================
Before using MEME and mast, users must add a few environment variables.
All needed variables are defined in meme.csh and meme.sh files.
(1) if using csh and tcsh, execute the following command:
source $prefix/etc/meme.csh
To make the addition of these variabls automatic add a line to
your .cshrc or .tcshrc file:
source $prefix/etc/meme.csh
(2) if using sh or bash, execute the following command:
. $prefix/etc/meme.sh
To make the addition of these variabls automatic add a line to
your .profile or .bash_profile file:
. $prefix/etc/meme.sh
The $prefix in the commands above is a full path to the installation directory.
To find out how to use MEME or MAST execute:
meme
or
mast
The usage will be printed on stdout.
=============================================================================
Problems and comments
=============================================================================
Please address any problems or comments to:
tbailey@imb.uq.edu.au
or
meme@nbcr.net
=============================================================================
Release Notes
=============================================================================
See file /web/release_notes.html
=============================================================================
Developers Notes
=============================================================================
Detailed notes are given in the MEME wiki:
https://nbcr.net/pub/wiki/index.php?title=MEME_Developers%27_Guide
1. Check out from svn (you have to have read/write access to this svn):
svn checkout svn+ssh://meme@summit.ucsd.edu/meme/SVNROOT/trunk
2. To create a distribution tar ball meme_VERSION.tar.gz. (Note: the
version number is set in configure.ac using variable
AM_INIT_AUTOMAKE.)
cd trunk
./bootstrap
./configure
make dist
3. Whenever databases are added to MAST:
1) add the database to website/mast.html
2) add the database to website/mast-databases.html
3) add the database to etc/mast_db.list or etc/mast_upstream_db.list
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