Interpreting pathways to discover cancer driver genes with Moonlight

Interpreting pathways to discover cancer driver genes with Moonlight

Identification of cancer driver genes, especially those that can act as tumour suppressors or oncogenes depending on context, remains a challenge. Here, the authors introduce Moonlight, a tool that integrates multi-omic data to address this challenge and identify numerous dual-role cancer genes.

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Detalles Bibliográficos
Autores principales: Antonio Colaprico, Catharina Olsen, Matthew H. Bailey, Gabriel J. Odom, Thilde Terkelsen, Tiago C. Silva, André V. Olsen, Laura Cantini, Andrei Zinovyev, Emmanuel Barillot, Houtan Noushmehr, Gloria Bertoli, Isabella Castiglioni, Claudia Cava, Gianluca Bontempi, Xi Steven Chen, Elena Papaleo
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2020
Materias:
Science
Q
Acceso en línea:https://doaj.org/article/17a5443f838e4ce7b405503b7875ae15
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Descripción
Sumario:Identification of cancer driver genes, especially those that can act as tumour suppressors or oncogenes depending on context, remains a challenge. Here, the authors introduce Moonlight, a tool that integrates multi-omic data to address this challenge and identify numerous dual-role cancer genes.

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