Predicting the functional consequences of cancer-associated amino acid substitutions (Q34341403)

1 August 2017

Predicting the functional consequences of cancer-associated amino acid substitutions (English)

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1 August 2017

3

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1 August 2017

Tom R Gaunt

5

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Julian Gough

series ordinal

2

object named as

Julian Gough

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1 August 2017

Hashem A Shihab

1

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PubMed ID

23620363

1 August 2017

Ian N M Day

series ordinal

4

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PubMed ID

23620363

1 August 2017

language of work or name

English

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publication date

25 April 2013

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1 August 2017

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1 August 2017

29

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1 August 2017

12

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1 August 2017

1504-1510

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Creative Commons Attribution 3.0 Unported

1 August 2017

start time

2 October 2016

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April 2023 Public Data File from Crossref

copyright status

copyrighted

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cites work

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Predicting the functional, molecular, and phenotypic consequences of amino acid substitutions using hidden Markov models

6 July 2018

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How to evaluate performance of prediction methods? Measures and their interpretation in variation effect analysis

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An analysis of substitution, deletion and insertion mutations in cancer genes

6 July 2018

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Predicting the functional impact of protein mutations: application to cancer genomics

6 July 2018

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Hallmarks of Cancer: The Next Generation

6 July 2018

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A method and server for predicting damaging missense mutations

6 July 2018

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A new generation of homology search tools based on probabilistic inference

6 July 2018

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In silico functional profiling of human disease-associated and polymorphic amino acid substitutions

6 July 2018

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CanProVar: a human cancer proteome variation database

6 July 2018

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Automated inference of molecular mechanisms of disease from amino acid substitutions.

6 July 2018

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Cancer-specific high-throughput annotation of somatic mutations: computational prediction of driver missense mutations

6 July 2018

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Functional annotations improve the predictive score of human disease-related mutations in proteins

6 July 2018

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CanPredict: a computational tool for predicting cancer-associated missense mutations

6 July 2018

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6 July 2018

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Patterns of somatic mutation in human cancer genomes

6 July 2018

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Distinguishing cancer-associated missense mutations from common polymorphisms

6 July 2018

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Predicting the insurgence of human genetic diseases associated to single point protein mutations with support vector machines and evolutionary information

6 July 2018

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Structural and functional properties of genes involved in human cancer

6 July 2018

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nsSNPAnalyzer: identifying disease-associated nonsynonymous single nucleotide polymorphisms

6 July 2018

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The COSMIC (Catalogue of Somatic Mutations in Cancer) database and website

6 July 2018

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6 July 2018

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Human non-synonymous SNPs: server and survey

6 July 2018

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Assignment of homology to genome sequences using a library of hidden Markov models that represent all proteins of known structure

6 July 2018

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Predicting deleterious amino acid substitutions

6 July 2018

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Pfam: a comprehensive database of protein domain families based on seed alignments

6 July 2018

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A new disease-specific machine learning approach for the prediction of cancer-causing missense variants

6 July 2018

1 reference

Crossref

https://api.crossref.org/works/10.1093%2FBIOINFORMATICS%2FBTT182

On Information and Sufficiency

21 January 2018

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Crossref

https://api.crossref.org/works/10.1093%2FBIOINFORMATICS%2FBTT182

Performance of mutation pathogenicity prediction methods on missense variants

21 January 2018

1 reference

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https://api.crossref.org/works/10.1093%2FBIOINFORMATICS%2FBTT182

10.1093/BIOINFORMATICS/BTT182

21 January 2018

Identifiers

DOI

1 reference

journals/bioinformatics/ShihabGCDG13

1 August 2017

1 reference

DBLP Dataset 2021-01-02

28 January 2021

1 reference

1 August 2017

1 reference

PubMed ID

23620363