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GASOLINE: detecting germline and somatic structural variants from long-reads data.
Magi, Alberto; Mattei, Gianluca; Mingrino, Alessandra; Caprioli, Chiara; Ronchini, Chiara; Frigè, Gianmaria; Semeraro, Roberto; Baragli, Marta; Bolognini, Davide; Colombo, Emanuela; Mazzarella, Luca; Pelicci, Pier Giuseppe.
Afiliação
  • Magi A; Department of Information Engineering, University of Florence, 50100, Florence, Italy. albertomagi@gmail.com.
  • Mattei G; Institute for Biomedical Technologies, National Research Council, Segrate, Milan, Italy. albertomagi@gmail.com.
  • Mingrino A; Department of Information Engineering, University of Florence, 50100, Florence, Italy.
  • Caprioli C; Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy.
  • Ronchini C; Department of Experimental Oncology, IEO European Institute of Oncology IRCCS, Milan, Italy.
  • Frigè G; Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy.
  • Semeraro R; Department of Experimental Oncology, IEO European Institute of Oncology IRCCS, Milan, Italy.
  • Baragli M; Department of Experimental Oncology, IEO European Institute of Oncology IRCCS, Milan, Italy.
  • Bolognini D; Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy.
  • Colombo E; Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy.
  • Mazzarella L; Department of Information Engineering, University of Florence, 50100, Florence, Italy.
  • Pelicci PG; Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy.
Sci Rep ; 13(1): 20817, 2023 11 27.
Article em En | MEDLINE | ID: mdl-38012350
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Gasolina Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Gasolina Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article