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Functional annotation of noncoding sequence variants
by
Ritchie, Graham R S
, Dunham, Ian
, Zeggini, Eleftheria
, Flicek, Paul
in
38/43
/ 45
/ 631/114/2184
/ 631/114/2397
/ 631/114/794
/ 631/208/212
/ Algorithms
/ Bioinformatics
/ Biological Microscopy
/ Biological Techniques
/ Biomedical Engineering/Biotechnology
/ brief-communication
/ Computer Simulation
/ Genetic diversity
/ Genetic Variation
/ Genetics
/ Genomes
/ Genomics
/ Humans
/ Life Sciences
/ Molecular Sequence Annotation
/ Noncoding DNA
/ Physiological aspects
/ Proteomics
/ Untranslated Regions - genetics
2014
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Functional annotation of noncoding sequence variants
by
Ritchie, Graham R S
, Dunham, Ian
, Zeggini, Eleftheria
, Flicek, Paul
in
38/43
/ 45
/ 631/114/2184
/ 631/114/2397
/ 631/114/794
/ 631/208/212
/ Algorithms
/ Bioinformatics
/ Biological Microscopy
/ Biological Techniques
/ Biomedical Engineering/Biotechnology
/ brief-communication
/ Computer Simulation
/ Genetic diversity
/ Genetic Variation
/ Genetics
/ Genomes
/ Genomics
/ Humans
/ Life Sciences
/ Molecular Sequence Annotation
/ Noncoding DNA
/ Physiological aspects
/ Proteomics
/ Untranslated Regions - genetics
2014
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Functional annotation of noncoding sequence variants
by
Ritchie, Graham R S
, Dunham, Ian
, Zeggini, Eleftheria
, Flicek, Paul
in
38/43
/ 45
/ 631/114/2184
/ 631/114/2397
/ 631/114/794
/ 631/208/212
/ Algorithms
/ Bioinformatics
/ Biological Microscopy
/ Biological Techniques
/ Biomedical Engineering/Biotechnology
/ brief-communication
/ Computer Simulation
/ Genetic diversity
/ Genetic Variation
/ Genetics
/ Genomes
/ Genomics
/ Humans
/ Life Sciences
/ Molecular Sequence Annotation
/ Noncoding DNA
/ Physiological aspects
/ Proteomics
/ Untranslated Regions - genetics
2014
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Journal Article
Functional annotation of noncoding sequence variants
2014
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Overview
The genome-wide annotation of variants (GWAVA) software predicts whether noncoding variants are likely to be functional using a classifier trained on a range of genomic and epigenomic annotations.
Identifying functionally relevant variants against the background of ubiquitous genetic variation is a major challenge in human genetics. For variants in protein-coding regions, our understanding of the genetic code and splicing allows us to identify likely candidates, but interpreting variants outside genic regions is more difficult. Here we present genome-wide annotation of variants (GWAVA), a tool that supports prioritization of noncoding variants by integrating various genomic and epigenomic annotations.
Publisher
Nature Publishing Group US,Nature Publishing Group
Subject
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