| Autor: |
Caralyn Reisle, Laura M. Williamson, Erin Pleasance, Anna Davies, Brayden Pellegrini, Dustin W. Bleile, Karen L. Mungall, Eric Chuah, Martin R. Jones, Yussanne Ma, Eleanor Lewis, Isaac Beckie, David Pham, Raphael Matiello Pletz, Amir Muhammadzadeh, Brandon M. Pierce, Jacky Li, Ross Stevenson, Hansen Wong, Lance Bailey, Abbey Reisle, Matthew Douglas, Melika Bonakdar, Jessica M. T. Nelson, Cameron J. Grisdale, Martin Krzywinski, Ana Fisic, Teresa Mitchell, Daniel J. Renouf, Stephen Yip, Janessa Laskin, Marco A. Marra, Steven J. M. Jones |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
Nature Communications, Vol 13, Iss 1, Pp 1-11 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2041-1723 |
| DOI: |
10.1038/s41467-022-28348-y |
| Popis: |
The interpretation of somatic variants in cancer is challenging due to the scale and complexity of sequencing data. Here, the authors present PORI, an open-source framework for interpreting somatic variants in cancer using graph knowledge base tools, automated reporting, and manual curation. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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Full text from SpringerLink