MEET: Motif Elements Estimation Toolkit
Visualitza/Obre
Tipus de documentComunicació de congrés
Data publicació2012
Condicions d'accésAccés obert
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Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
MEET is an R package that integrates a set of
algorithms for the detection of transcription factor binding sites(TFBS). The MEET R package includes five motif searching algorithms: MEME/MAST(Multiple Expectation-Maximization for Motif Elicitation), Q-residuals, MDscan (Motif Discovery scan), ITEME (Information Theory Elements for Motif Estimation)and MATCH. In addition MEET allows the user to work with different alignment algorithms: MUSCLE (Multiple Sequence Comparison by Log-Expectation), ClustalW and MEME. The package can work in two modes, training and detection. The training mode allows the user to choose the best parameters of a detector. Once the parameters are chosen, the detection mode allows to analyze a genome looking for binding sites. Both modes can combine the different alignment and
detection methods, offering multiple possibilities. Combining the alignments and the detection algorithms makes possible the
comparison between detection models at the same level, without having to care about the differences produced during the alignment process. The MEET R package can be downloaded
from http://sisbio.recerca.upc.edu/R/MEET_1.0.
tar.gz
CitacióPairó, E. [et al.]. MEET: Motif Elements Estimation Toolkit. A: 33th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. "33th Annual International Conference of the IEEE Engineering in Medicine and Biology Society". Boston: 2012.
ISBN978-1-4244-4122-8
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MEET_eng.pdf | Article principal | 201,0Kb | Visualitza/Obre |