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A Discriminative Approach for Unsupervised Clustering of DNA Sequence Motifs
Algorithmic comparison of DNA sequence motifs is a problem in bioinformatics that has received increased attention during the last years. Its main applications concern characterization of potentially novel motifs and clustering of a motif collection in order to remove redundancy. Despite growing int...
Autores principales: | Stegmaier, Philip, Kel, Alexander, Wingender, Edgar, Borlak, Jürgen |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3605052/ https://www.ncbi.nlm.nih.gov/pubmed/23555204 http://dx.doi.org/10.1371/journal.pcbi.1002958 |
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