Description Details Author(s) References
Small RNAs (sRNAs) constitute an important class of post-transcriptional regulators that control critical cellular processes in bacteria. While recent research has led to a dramatic increase in the discovery of bacterial sRNAs, it is generally believed that the currently identified sRNAs constitute a limited subset of the bacterial sRNA repertoire. In several cases, sRNAs belonging to a specific class are already known and the challenge is to identify additional sRNAs belonging to the same class. **InvenireSRNA** is an R package for learning a classification model for a given class of sRNA thus allowing for the discovery of additional sRNAs beloning to the same class. **InvenireSRNA** also provides a pretrained model for predicting RsmA/CsrA regulating sRNAs.
Package: | InvenireSRNA |
Type: | Package |
Version: | 0.1.0 |
Date: | 2017-08-01 |
License: | GPL (>= 2) |
Carl Tony Fakhry
Maintainer: Carl Tony Fakhry <cfakhry@cs.umb.edu>
Carl Tony Fakhry, Prajna Kulkarni, Ping Chen, Rahul Kulkarni and Kourosh Zarringhalam (2017). "Prediction of bacterial small RNAs in the RsmA (CsrA) and ToxT pathways: a machine learning approach." BMC Genomics, 18.
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