MatrixMotif
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61388971%3A_____%2F19%3A00519622" target="_blank" >RIV/61388971:_____/19:00519622 - isvavai.cz</a>
Result on the web
<a href="https://peterslab.org/downloads.php" target="_blank" >https://peterslab.org/downloads.php</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
MatrixMotif
Original language description
MatrixMotif is novel hybrid algorithm for biomolecular language processing allowing mining of hidden TFBS motifs from enriched NGS datasets. We primarily stacked on Hypergeometric Distribution Model allowing pseudo-random estimation of DNA motif seeds which are subsequently marginalized through eigenvalue of the Markov chain transition matrix. To get rid of local optima in our constraints we were iterating our motifs using property of Maximum Entropy to maximize our expectation. The maximum free motifs are then re-estimated using hidden Markov matrix and the SuperBinder motif is selected according its maximum log-likelihood score.
Czech name
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Czech description
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Classification
Type
R - Software
CEP classification
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OECD FORD branch
10602 - Biology (theoretical, mathematical, thermal, cryobiology, biological rhythm), Evolutionary biology
Result continuities
Project
<a href="/en/project/GA16-24309S" target="_blank" >GA16-24309S: Mass Spectrometric 3D Structure Analysis of DNA Response Elements / Transcription Factor Association and Modeling</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Internal product ID
MatrixMotif
Technical parameters
Hybridní algoritmus založený na R a SciPy balících
Economical parameters
Software, Freeware
Owner IČO
61388971
Owner name
Mikrobiologický ústav, AV ČR, v. v. i.