Looking for the latest version? Download miReader_Linux.tar.gz (32.3 MB)
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Name Modified Size Downloads / Week Status
miReader_Linux.tar.gz 2014-02-18 32.3 MB 33 weekly downloads
mireader_windows.zip 2014-02-12 76.4 MB 55 weekly downloads
readme.txt 2013-04-23 2.9 kB 0
expression.java 2013-04-23 5.7 kB 0
Totals: 4 Items   108.7 MB 8
miReader a noval and accurate algorithm to identify miRNAs from small RNA read data without reference genome. How to use miReader Linux: Dependencies: 1. Java 5 or greater. 2. QT4 (for GUI) 3. Any Linux distribution (x86_64 for GUI) 4. EMBOSS package Run miReader: Graphical user interface (GUI) Extract or unzip the miReader_Linux.tar.gz, to run miReader execute ./install (as root) from command line. After executing the command a binary named miReader will be created in the working directory. Double click on the binary to start miReader GUI. If the binary is working correctly a splash screen will appear, after few seconds the GUI of miReader will appear. Select input file, output folder and number of processors, also choose the model organism out of 6 organism by clicking on radiobutton. Command line interface (CLI) Extract miReader_Linux.tar.gz and execute “java -jar miReader_dicot.jar inputfile (can be in fasta format or in fastq format) output_folder_destination (/home/user/...) number_of_processors” (without quotes). As miReader does not require any third party dependencies it can (theoretically) run on any system with Linux O.S having Java version > 5. Windows: Dependencies: 1. Java 5 or greater. 2. Windows (x86_64 for GUI) 4. EMBOSS package Run miReader: Graphical user interface (GUI) Extract the miReader_windows.rar file double click on miReader and follow the above steps to choose input file output folder destination, number of processor and model species. Command line interface (CLI) Follow the above steps described to run CLI version of miReader in Linux. Note to run miReader as CLI please replace the jar file with the respective model 1. miReader_dicot.jar : model - Arabidopsis thaliana 2. miReader_monocot.jar : model - Oryza satvia 3. miReader_human.jar : model - Homo sapiens 4. miReader_nematod.jar : model - Caenorhabditis elegans 5. miReader_fly.jar : model - Drosophila melanogaster 6. miReader_fish.jar : model - Danio rerio For example run java -jar miReader_dicot.jar inputfile output_folder number_of_processors if you want to use dicot (Arabidopsis) as model. Or java -jar miReader_human.jar inputfile output_folder number of processors to identify reads for human model. Calculate expression from fasta/fastq file: To calculate the expression of duplex miRNAs and the isomiRs please use expression.java. Simply compile the code as java expression.java and to run java expression input_fastq_or_fasta_file miReader_result_folder/temp_mapped_results out_file Note miReader_result_folder is the same out folder which is chosen to run miReader. In this folder you can find many files namely "miReader_result" - final miReader result "temp_mapped_results_isomiRs" - mapped file containg the information of isomiRs "temp_mapped_results" - mapped result (will be used to calculate expresion)
Source: readme.txt, updated 2013-04-23

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