A deep learning approach to automate refinement of somatic variant calling from cancer sequencing data

Cancer genomic analysis requires accurate identification of somatic variants in sequencing data. Manual review to refine somatic variant calls is required as a final step after automated processing. However, manual variant refinement is time-consuming, costly, poorly standardized, and non-reproducib...

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Detaylı Bibliyografya
Yayımlandı:Nat Genet
Asıl Yazarlar: Ainscough, Benjamin J., Barnell, Erica K., Ronning, Peter, Campbell, Katie M., Wagner, Alex H., Fehniger, Todd A., Dunn, Gavin P., Uppaluri, Ravindra, Govindan, Ramaswamy, Rohan, Thomas E., Griffith, Malachi, Mardis, Elaine R., Swamidass, S. Joshua, Griffith, Obi L.
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: 2018
Konular:
Article
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC6428590/
https://ncbi.nlm.nih.gov/pubmed/30397337
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41588-018-0257-y
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