16S Classifier: A Tool for Fast and Accurate Taxonomic Classification of 16S rRNA Hypervariable Regions in Metagenomic Datasets

Time to analyze your 16s rRNA data using 16S Classifier

A recent publication out from our lab. Please explore and write back to (ashok@iiserb.ac.in) in case of any problem. Comments are welcome. 

http://journals.plos.org/plosone/articleid=10.1371/journal.pone.0116106

To the best of our knowledge, 16S Classifier is the only available tool which can carry out the efficient, sensitive and accurate taxonomic assignment of any of the 16S rRNA hypervariable regions which are commonly used in metagenomic projects. In the case of complete 16S rRNA also, it displayed exceptional (precision of 0.97) performance on the test dataset. Thus, the wide usage of this tool is anticipated in different metagenomic projects. 16S Classifier is available freely at 
http://metagenomics.iiserb.ac.in/16Sclassifier
http://metabiosys.iiserb.ac.in/16Sclassifier

Instructions for running the stand-alone version of 16S Classifier on the Linux PC.
1. User can download a zip file of a particular hypervariable region or complete 16S, which is freely available at http://metagenomics.iiserb.ac.in/16Sclassifier/download.html
2. Extract the zipped file which contains a model file (*.Rdata), a script file (*.sh) and an exe file (16sclassifier.exe).
Other dependencies
1. User has to install R from the following link http://cran.r-project.org/
2. install Random forest by typing the following commands in terminal  R  and install.packages ('randomForest')

Command line usage./16sclassifier.exe 'queryfile' 'modelname'

The query file should be in Fasta format and the model name could be v2, v3, v4, v5, v6, v7, v8, v23, v34, v35, v45, v56, v67, v78 and Complete16S.