The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
MOODS: fast search for position weight matrix matches in DNA sequences
Open accessAbstract
Summary: MOODS (MOtif Occurrence Detection Suite) is a software package for matching position weight matrices against DNA sequences. MOODS implements state-of-the-art online matching algorithms, achieving considerably faster scanning speed than with a simple brute-force search. MOODS is written in C++, with bindings for the popular BioPerl and Biopython toolkits. It can easily be adapted for different purposes and integrated into existing workflows. It can also be used as a C++ library. Availability: The package with documentation and examples of usage is available at http://www.cs.helsinki.fi/group/pssmfind. The source code is also available under the terms of a GNU General Public License (GPL). Contact: janne.h.korhonen@helsinki.fi
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Biopython: freely available python tools for computational molecular biology and bioinformatics
Cock, P. J. A., Antao, T., Chang, J. T., Chapman, B. A., Cox, C. J., Dalke, A., Friedberg, I., Hamelryck, T., Kauff, F., Wilczynski, B., et al. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp163 · Cited by 6,080
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Metadata
- Authors
- Korhonen, J., Martinmäki, P., Pizzi, C., Rastas, P., & Ukkonen, E.
- Venue
- Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Published
- 2009-09-22
- Volume
- 25
- Issue
- 23
- Pages
- 3181-3182
- ISSN
- 1367-4803 (ISSN-L)
- 1367-4811
- OpenAlex
- W2033781392
- Cited by
- 190
- References
- 1
- FWCI
- 1.44
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Korhonen, J., Martinmäki, P., Pizzi, C., Rastas, P., & Ukkonen, E. (2009). MOODS: fast search for position weight matrix matches in DNA sequences. Bioinformatics. https://doi.org/10.1093/bioinformatics/btp554
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