Finding Significant Matches of Position Weight Matrices in Linear Time
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Parallel Position Weight Matrices algorithms
Parallel Computing
| Hi-index | 3.84 |
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