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Updated: Nov 11, 2025

Novel Sequence Discovery by Subtractive Genomics
Published on: January 25, 2019
KEC: unique sequence search by K-mer exclusion
Pavel Beran1, Dagmar Stehlíková1, Stephen P Cohen2
1Department of Genetics and Agricultural Biotechnology, Biotechnological Centre, University of South Bohemia, Faculty of Agriculture, 37005 České Budějovice, Czech Republic.
Summary:
Searching for amino acid or nucleic acid sequences unique to one organism may be challenging depending on size of the available datasets. K-mer elimination by cross-reference (KEC) allows users to quickly and easily find unique sequences by providing target and non-target sequences. Due to its speed, it can be used for datasets of genomic size and can be run on desktop or laptop computers with modest specifications.
Availability And Implementation:
KEC is freely available for non-commercial purposes. Source code and executable binary files compiled for Linux, Mac and Windows can be downloaded from https://github.com/berybox/KEC.
Supplementary Information:
Supplementary data are available at Bioinformatics online.
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