DOCKS statistics

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Citations per year

Number of citations per year for the bioinformatics software tool DOCKS

Tool usage distribution map

This map represents all the scientific publications referring to DOCKS per scientific context
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DOCKS specifications


Unique identifier OMICS_33392
Alternative name Design Of Compact K-mer Set for hash functions
Software type Application/Script
Interface Command line interface
Restrictions to use Academic or non-commercial use
Input data A list of parameters.
Output data A list of k-mers.
Operating system Unix/Linux
Programming languages Java
License GNU General Public License version 3.0
Computer skills Advanced
Version 1.0
Stability Stable
Maintained Yes


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  • person_outline Yaron Orenstein

Publication for Design Of Compact K-mer Set for hash functions

DOCKS citation


Designing small universal k mer hitting sets for improved analysis of high throughput sequencing

PLoS Comput Biol
PMCID: 5645146
PMID: 28968408
DOI: 10.1371/journal.pcbi.1005777

[…] We presented the DOCKS algorithm, which generates a compact set of k-mers that together hit all L-long DNA sequences. Such compact sets have many applications in sequence analysis, including space efficient data struc […]

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DOCKS institution(s)
Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA, USA; Blavatnik School of Computer Science, Tel-Aviv University, Tel-Aviv, Israel; Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA
DOCKS funding source(s)
Supported in part by the Israel Science Foundation as part of the ISF-NSFC joint program 2015-2018; in part by a Ph.D. fellowship from the Edmond J. Safra Center for Bioinformatics at Tel-Aviv University; in part by an Israel Ministry of Immigrant Absorption fellowship; in part by the Gordon and Betty Moore Foundation’s Data-Driven Discovery Initiative through Grant GBMF4554; by the US National Science Foundation (CCF-1256087, CCF-1319998); by the US National Institutes of Health (R01HG007104) and an Alfred P. Sloan Research Fellowship.

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