The small hairpin RNAs (shRNA) are useful in many ways like identification of trait specific molecular markers, gene silencing and
characterization of a species. In public domain, hardly there exists any standalone software for shRNA prediction. Hence, a
software shRNAPred (1.0) is proposed here to offer a user-friendly Command-line User Interface (CUI) to predict ‘shRNA-like’
regions from a large set of nucleotide sequences. The software is developed using PERL Version 5.12.5 taking into account the
parameters such as stem and loop length combinations, specific loop sequence, GC content, melting temperature, position specific
nucleotides, low complexity filter, etc. Each of the parameters is assigned with a specific score and based on which the software
ranks the predicted shRNAs. The high scored shRNAs obtained from the software are depicted as potential shRNAs and provided
to the user in the form of a text file. The proposed software also allows the user to customize certain parameters while predicting
specific shRNAs of his interest. The shRNAPred (1.0) is open access software available for academic users. It can be downloaded
freely along with user manual, example dataset and output for easy understanding and implementation.AvailabilityThe database is available for free at http://bioinformatics.iasri.res.in/EDA/downloads/shRNAPred_v1.0.exe