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HiConfidence: a novel approach uncovering the biological signal in Hi-C data affected by technical biases.
Kobets, Victoria A; Ulianov, Sergey V; Galitsyna, Aleksandra A; Doronin, Semen A; Mikhaleva, Elena A; Gelfand, Mikhail S; Shevelyov, Yuri Y; Razin, Sergey V; Khrameeva, Ekaterina E.
Afiliación
  • Kobets VA; Skolkovo Institute of Science and Technology, Moscow, 121205, Russia.
  • Ulianov SV; Institute of Gene Biology, Russian Academy of Sciences, Moscow, 119334, Russia.
  • Galitsyna AA; Faculty of Biology, M.V. Lomonosov Moscow State University, Moscow, 119992, Russia.
  • Doronin SA; Skolkovo Institute of Science and Technology, Moscow, 121205, Russia.
  • Mikhaleva EA; Institute of Gene Biology, Russian Academy of Sciences, Moscow, 119334, Russia.
  • Gelfand MS; A.A. Kharkevich Institute for Information Transmission Problems, Russian Academy of Sciences, Moscow, 127051, Russia.
  • Shevelyov YY; Institute of Molecular Genetics of National Research Centre "Kurchatov Institute", Moscow, 123182, Russia.
  • Razin SV; Institute of Molecular Genetics of National Research Centre "Kurchatov Institute", Moscow, 123182, Russia.
  • Khrameeva EE; Skolkovo Institute of Science and Technology, Moscow, 121205, Russia.
Brief Bioinform ; 24(2)2023 03 19.
Article en En | MEDLINE | ID: mdl-36759336
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Genoma / Drosophila melanogaster Límite: Animals Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: Rusia
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Genoma / Drosophila melanogaster Límite: Animals Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: Rusia