matK-QR classifier: a patterns based approach for plant species identification
The quick response (QR) code was reported to have the capacity to coding for different alphabets, number, and symbols. With the resolve of the core DNA barcodes for the kingdoms of life, focus would now move towards the practical uses of DNA barcoding technologies. Here we introduced software tool that can represent matK gene specific signatures as QR codes library in practical application for taxonomic identification.
Graphics-based user friendly interface
It accepts FASTA format matK gene sequences (.fasta/.txt/.fa/.seq/.fna extension file).
Export analysis results in respective text files.
Users can encode or decode QR-codes.
matK-QR_setup_x86_(32-bit)
User Manual
Sample_matK_Sequences
1. matK-QR Classifier is developed for use on Microsoft Windows® operating systems: Windows 7 and 8 (32-bit). Currently not available for Macintosh, Linux and other platforms. We recommonds Windows 7 operating system.
2. The minimum computer requirements: 2 GB of RAM and 100 GB of available hard disk space (on C: drive) with a Intel Pentium® processor.
3. If Microsoft .NET Framework 4 is not pre-installed, in this case it will automatically get install.
(Note: Please keep internet connection enable during installations for download supporting files.)
Step 1: Download and Unzip matK-QR Classifier Windows installation package.
Step 2: Run the 'setup.exe' file from extracted folder
Step 3: Follow the setup wizard by clicking next button as shown in following figures.
Step 4: After successful completion of setup, matK-QR Classifier icon appeared in Start Menu.User can find at location: (C:\Program files\ matK-QR Classifier). As well as shortcut icon will create on Desktop.
Step 1: Click on Sequence menu then Open Sequence file then Sample Sequence File or Browse file
Step 2: Click on Barcode Menu then Open QR DNA barcode then Sample QR DNA Barcode – Acacia (Genus).png OR Open Regular Expression.
Step 3: Click on Search Barcodes and then click on OK show result window.
Step 4: Click on Export Output button and then choose desired folder to save output files.
Step 5: Open target folder (Ex. Desktop/Result) and open output results files.
matK-QR classifier: a patterns based approach for plant species identification, Ravi P More, RC Mane, HJ Purohit, BMC BioData Mining 9 (1), 39, 2016
[PUBMED LINK https://pubmed.ncbi.nlm.nih.gov/27104769/]
Dr. Ravi Prabhakar More and Dr. Hemant J. Purohit
Environmental Genomics Division (EGD),
CSIR - National Environmental Engineering Research Institute (NEERI),
Nehru Marg, Nagpur 440 020, Maharashtra, India
Email: hj_purohit@neeri.res.in
For technical queries, please contact to Dr. Ravi Prabhakar More on email: