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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Detalles Bibliográficos
Autor principal: Peng, He
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2020
Materias:
Bioinformatics
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

Internet

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

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