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- Title
KEC: unique sequence search by K-mer exclusion.
- Authors
Beran, Pavel; Stehlíková, Dagmar; Cohen, Stephen P; Čurn, Vladislav
- Abstract
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.
- Subjects
MICROSOFT Windows (Operating system); LAPTOP computers; NUCLEIC acids; SOURCE code; BINARY codes; AMINO acids; PERSONAL computers
- Publication
Bioinformatics, 2021, Vol 37, Issue 19, p3349
- ISSN
1367-4803
- Publication type
Article
- DOI
10.1093/bioinformatics/btab196