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SHREC | A short-read error correction method

A bioinformatics tool for error correction of HTS read data. SHREC can identify erroneous reads with sensitivity and specificity of over 99% and 96% for simulated data with error rates of up to 3% as well as for real data. Furthermore, it achieves an error correction accuracy of over 80% for simulated data and over 88% for real data.

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SHREC classification

SHREC specifications

Unique identifier:
Command line interface
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GNU General Public License version 2.0
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SHREC distribution


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Institut für Informatik, Christian-Albrecht-Universität Kiel, Kiel, Germany; School of Computer Science and Information Technology, RMIT University, Victoria; Department of Computer Science and Software Engineering, University of Melbourne, Victoria, Australia; School of Computer Engineering, Nanyang Technological University, Singapore

Funding source(s)

This work was supported by the Australian Research Council, and by the NICTA Victorian Research Laboratory.

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