Integrated Informatics Analysis of Cancer-Related Variants
Issue: 4, Pages: 310 - 317
Published: Nov 1, 2020
Abstract
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 effect prediction tools. Because variant prioritization is a multifactorial problem, a welcome development in the field has been the emergence of decision support frameworks, which make it easier to...
Paper Details
Title
Integrated Informatics Analysis of Cancer-Related Variants
Published Date
Nov 1, 2020
Issue
4
Pages
310 - 317
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