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CFSP: a collaborative frequent sequence pattern discovery algorithm for nucleic acid sequence classification
BACKGROUND: Conserved nucleic acid sequences play an essential role in transcriptional regulation. The motifs/templates derived from nucleic acid sequence datasets are usually used as biomarkers to predict biochemical properties such as protein binding sites or to identify specific non-coding RNAs....
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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PeerJ Inc.
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7179567/ https://www.ncbi.nlm.nih.gov/pubmed/32341900 http://dx.doi.org/10.7717/peerj.8965 |