Quantifying unobserved protein-coding variants in human populations provides a roadmap for large-scale sequencing projects.
Zou, James
Quantifying unobserved protein-coding variants in human populations provides a roadmap for large-scale sequencing projects. [electronic resource] - Nature communications 10 2016 - 13293 p. digital
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S.
2041-1723
10.1038/ncomms13293 doi
Algorithms
Alleles
Cohort Studies
Computational Biology
CpG Islands
Exome
Gene Frequency
Genetic Variation
Genome, Human
Humans
Linear Models
Mutation, Missense
Polymorphism, Single Nucleotide
Proteins--chemistry
Sequence Analysis, DNA
Quantifying unobserved protein-coding variants in human populations provides a roadmap for large-scale sequencing projects. [electronic resource] - Nature communications 10 2016 - 13293 p. digital
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S.
2041-1723
10.1038/ncomms13293 doi
Algorithms
Alleles
Cohort Studies
Computational Biology
CpG Islands
Exome
Gene Frequency
Genetic Variation
Genome, Human
Humans
Linear Models
Mutation, Missense
Polymorphism, Single Nucleotide
Proteins--chemistry
Sequence Analysis, DNA