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Circall: fast and accurate methodology for discovery of circular RNAs from paired-end RNA-sequencing data.
Nguyen, Dat Thanh; Trac, Quang Thinh; Nguyen, Thi-Hau; Nguyen, Ha-Nam; Ohad, Nir; Pawitan, Yudi; Vu, Trung Nghia.
Afiliação
  • Nguyen DT; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
  • Trac QT; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
  • Nguyen TH; University of Engineering and Technology, Vietnam National University in Hanoi, Hanoi, Vietnam.
  • Nguyen HN; Information Technology Institute, Vietnam National University in Hanoi, Hanoi, Vietnam.
  • Ohad N; School of Plant Sciences and Food Security, Tel Aviv University, Tel Aviv, Israel.
  • Pawitan Y; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
  • Vu TN; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden. TrungNghia.vu@ki.se.
BMC Bioinformatics ; 22(1): 495, 2021 Oct 13.
Article em En | MEDLINE | ID: mdl-34645386

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: RNA / RNA Circular Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: RNA / RNA Circular Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article