Motif-All: discovering all phosphorylation motifs
نویسندگان
چکیده
منابع مشابه
Discovering larger network motifs: Network Motif clustering
In this project, we aim to discover large network motifs. The main idea would be 1) combining smaller network motifs and extend it to larger network motifs or 2) using clustering algorithms to find more compact representation for the whole network, then using existing or new algorithm for finding network motifs. In order to find the appropriate approaches, we reviewed some of related papers, ab...
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MOTIVATION The goal of motif discovery is to detect novel, unknown, and important signals from biology sequences. In most models, the importance of a motif is equal to the sum of the similarity of every single position. In 2006, Song et al. introduced Aggregated Related Column Score (ARCS) measure which includes correlation information to the evaluation of motif importance. The paper showed tha...
متن کاملDiscovering larger network motifs: Network clustering for Network Motif discovery
We want to discover larger network motifs, with more than 15 number of nodes. In order to propose an algorithm for finding larger network motifs in any biological network, we review some of models and algorithms to find network motifs. There are two types of methods, one is exact counting and the other is approximate sampling. Generalization of random graphs is another important issue to evalua...
متن کاملDiscovering Colored Network Motifs
Network motifs are small overrepresented patterns that have been used successfully to characterize complex networks. Current algorithmic approaches focus essentially on pure topology and disregard node and edge nature. However, it is often the case that nodes and edges can also be classified and separated into different classes. This kind of networks can be modeled by colored (or labeled) graph...
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ژورنال
عنوان ژورنال: BMC Bioinformatics
سال: 2011
ISSN: 1471-2105
DOI: 10.1186/1471-2105-12-s1-s22