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README.txt 2013-06-25 1.4 kB
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MAAP.tar.gz 2013-05-28 1.2 MB
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System Requirement: Red Hat Linux version 7.3 or above. 
Other Requirements: Perl version 5.6 or later, C compiler., SVM_classify (The SVM_classify is a part of the Joachim’s SVMlight package. The source code of the package is available at Joachim’s website).
MAAP is distributed as a tar-gzipped file. It should be first unzipped and untarred by the command 'tar xvzf MAAP.tar.gz'. This will produce the following 11 items in the current directory. 
Model_16c (Model file), Model_125b (Model file), Model_125e (Model file), Model_134a (Model file), Model_134c (Model file), Model_134d (Model file), calc_dipep_freq.c (C source code for calculating dipeptide frequencies), calc_multiplet_freq.c (C source code for calculating multiplet frequencies), run_maap.pl (The main Perl script for running MAAP engine), Demo1.txt (FASTA format sample input file), Output_Demo1.txt (Sample output file generated by MAAP)
Instruction for usage
1. Compile the SVMlight source code on your local machine that makes two executables, svm_learn and svm_classify. Copy the file SVM_classify and paste into the MAAP folder.
2. Compile the C programs, calc_dipep_freq.c and calc_multiplet_freq.c and put the executables in the same folder. 
3. For running MAAP, change to the MAAP directory and run the main Perl script run_maap.pl using the following command:   perl   run_maap.pl
Source: README.txt, updated 2013-06-25