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Parasite Symbiont Transcriptome Separation
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NAME psytrans.py Parasite & Symbiont Transcriptome Separation SYNOPSIS python psytrans.py [QUERIES] [-H FILE] [-S FILE] [OPTIONS] python psytrans.py [QUERIES] [-b BLASTRESULTSFILE] [OPTIONS] DESCRIPTION psytrans.py separates the sequences of a host species from those of its main symbiont(s) or parasite(s) based on Support Vector Machine classification. The program takes as input a file in fasta format with the sequences to be classified. The program also requires a file with sequences of a species related to the host, and a file with sequences related to the symbiont (or parasite). The queries will be compared to these two files using BLASTX. Alternatively, the user can provide the output of pre-computed BLASTX searches (in tabular format: -outfmt 6 or 7). The classification is then carried out using the command line tools from libsvm. DEPENDENCIES psytrans requires makeblastdb and blastx from the NCBI blast+ distribution, unless the user provides pre-computed blast results. psytrans also requires a few command line utilities from libsvm: svm-scale, svm-train and svm-predict OPTIONS Generic Program Information -h, --help Print a usage message briefly summarizing the command-line options. Global options -R, --restart Restart the script from the last checkpoint. -p, --nbThreads Number of threads to use for the blast searches and for the SVM training. -V, --verbosemode Runs the script in verbose mode. -t, --tempDir Specify the name of the temporary directory. -X, --clearTemp Clears all temporary data in the temporary directory upon completion. -z, --stopAfter Choices:['db','runBlast','parseBlast','kmers','SVM'] This option allows the user to choose whether the process should stop, once the process has completed a specific stage. db refers to the database creation stage; runBlast refers to the BLAST search stage; parseBlast refers to the separation of unambiguous and ambiguous sequence stage; kmers refers to the preparation of SVM input stage; SVM refers to the SVM training and testing stage. Preparation of training set options -e, --maxBestEvalue Set the maximum value for the best e-value to be used to classify unambiguous sequences. -n, --numberOfSeq Set the maximum number of training & testing sequences. Kmer parameters -c, --minWordSize Set the minimum value of DNA word length. -k, --maxWordSize Set the maximum value of DNA word length. EXAMPLE You start with an assembly containing a mixture of sequences from a host A and a symbiont (or parasite) B: host_and_symb.fasta You also provide a file with proteins from a species related to the host: related_host_proteins.fasta and a file with proteins from a species related to the symbiont: related_symb_proteins.fasta You can then start the Psytrans process as follows: python psytrans.py host_and_symb.fasta -H related_host_proteins.fasta -S related_symb_proteins.fasta Wait a few hours (depending on the number of sequences), and in the current directory you will find a new file starting with the prefix `host_' and another file starting with the prefix `symb_', corresponding to the sequences classified as host or symbiont (or parasite) respectively. To run the program using 8 threads and using /home/user/tmp as a temporary directory, use the following command: python psytrans.py host_and_symb.fasta -H related_host_proteins.fasta -S related_symb_proteins.fasta -p 8 -t /home/user/tmp AUTHOR Written by Sylvain Forêt and Jue-Sheng Ong. REPORTING BUGS Report bugs at firstname.lastname@example.org Psytrans repository <https://github.com/sylvainforet/psytrans> COPYRIGHT Copyright © 2014 Sylvain Forêt & Jue-Sheng Ong. psytrans is a free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under the terms of the GNU General Public License versions 3 or later. For more information about these matters see http://www.gnu.org/licenses/.