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of 4
pro vyhledávání: '"Kyle Moad"'
Autor:
Ben Busby, Kyle Moad, Rachel Karchin, Rick Kim, Lily Zheng, Collin Tokheim, Kymberleigh A. Pagel, Michael T. Ryan
Publikováno v:
JCO Clinical Cancer Informatics
PURPOSE The modern researcher is confronted with hundreds of published methods to interpret genetic variants. There are databases of genes and variants, phenotype-genotype relationships, algorithms that score and rank genes, and in silico variant eff
Autor:
Michael T. Ryan, Ben Busby, Rick Kim, Matthew Hynes-Grace, Lily Zheng, Rachel Karchin, Collin Tokheim, Kyle Moad, Kymberleigh A. Pagel
PURPOSEThe modern researcher is confronted with hundreds of published methods to interpret genetic variants. There are databases of genes and variants, phenotype-genotype relationships, algorithms that score and rank genes, and in silico variant effe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8352f334a62cd2ae50ff3ecf12f327d
Autor:
Lily Zheng, Michael T. Ryan, Ben Busby, Rachel Karchin, Rick Kim, Kyle Moad, Kymberleigh A. Pagel, Collin Tolkheim
Publikováno v:
Cancer Genetics. 244:15
Autor:
Rachel Karchin, Kyle Moad, Rohit Bhattacharya, Michael C. Ryan, Christopher Douville, Collin Tokheim, David L. Masica, RyangGuk Kim
Cancer sequencing studies are increasingly comprehensive and well-powered, returning long lists of somatic mutations that can be difficult to sort and interpret. Diligent analysis and quality control can require multiple computational tools of distin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4264141961363313a34dbad1e52f0d48