Insight into neutral and disease-associated human genetic variants through interpretable predictors

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Multilevel biological characterization of exomic variants at the protein level significantly improves the identification of their deleterious effects.Set size influences the relationship between ANS acuity and math performance: a result of different strategies?

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Insight into neutral and disease-associated human genetic variants through interpretable predictors

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2015 nî lūn-bûn

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Insight into neutral and disea ...... rough interpretable predictors

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Insight into neutral and disea ...... rough interpretable predictors

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Insight into neutral and disea ...... rough interpretable predictors

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Insight into neutral and disea ...... rough interpretable predictors

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Insight into neutral and disea ...... rough interpretable predictors

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Insight into neutral and disea ...... rough interpretable predictors

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P1476

Insight into neutral and disea ...... rough interpretable predictors

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P2093

Bastiaan A van den Berg

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Dick de Ridder

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Marcel J T Reinders

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The Pfam protein families database

A method and server for predicting damaging missense mutations

HHblits: lightning-fast iterative protein sequence searching by HMM-HMM alignment

An introduction to ROC analysis

SIFT: Predicting amino acid changes that affect protein function

A framework for variation discovery and genotyping using next-generation DNA sequencing data

A general framework for estimating the relative pathogenicity of human genetic variants

MutationTaster evaluates disease-causing potential of sequence alterations

Update on activities at the Universal Protein Resource (UniProt) in 2013

Loss of protein structure stability as a major causative factor in monogenic disease.

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e0120729

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scholarly article

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10.1371/JOURNAL.PONE.0120729

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English

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Tjaart De Beer

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2015-03-31T00:00:00Z

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25826299

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4380319

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Insight into neutral and disease-associated human genetic variants through interpretable predictors

about

P2860

P2860

Insight into neutral and disease-associated human genetic variants through interpretable predictors

description

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type

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P1433

P1476

P2093

P2860

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P356

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P407

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P5875

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