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A kinetic model-based algorithm to classify NGS short reads by their allele origin.
Marinoni, Andrea; Rizzo, Ettore; Limongelli, Ivan; Gamba, Paolo; Bellazzi, Riccardo.
Affiliation
  • Marinoni A; Department of Electrical, Computer and Biomedical Engineering, University of Pavia, via Ferrata 1, Pavia 27100, Italy. Electronic address: andrea.marinoni@unipv.it.
  • Rizzo E; Department of Electrical, Computer and Biomedical Engineering, University of Pavia, via Ferrata 1, Pavia 27100, Italy.
  • Limongelli I; IRCCS Neurological Institute "C. Mondino", Via Mondino 2, 27100 Pavia, Italy.
  • Gamba P; Department of Electrical, Computer and Biomedical Engineering, University of Pavia, via Ferrata 1, Pavia 27100, Italy.
  • Bellazzi R; Department of Electrical, Computer and Biomedical Engineering, University of Pavia, via Ferrata 1, Pavia 27100, Italy.
J Biomed Inform ; 53: 121-7, 2015 Feb.
Article in En | MEDLINE | ID: mdl-25311269
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Full text: 1 Database: MEDLINE Main subject: Alleles / High-Throughput Nucleotide Sequencing Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: J Biomed Inform Journal subject: INFORMATICA MEDICA Year: 2015 Type: Article
Fulltext
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Full text: 1 Database: MEDLINE Main subject: Alleles / High-Throughput Nucleotide Sequencing Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: J Biomed Inform Journal subject: INFORMATICA MEDICA Year: 2015 Type: Article