(Q90635883)

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:30060008%20AND%20SRC:MED&resulttype=core&format=json

15 April 2020

title

Performance evaluation of pathogenicity-computation methods for missense variants (English)

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15 April 2020

8

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15 April 2020

Zhongsheng Sun

9

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15 April 2020

author name string

Jinchen Li

1

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15 April 2020

Tingting Zhao

2

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15 April 2020

Yi Zhang

3

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15 April 2020

Kun Zhang

4

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15 April 2020

Leisheng Shi

5

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15 April 2020

Yun Chen

6

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15 April 2020

Xingxing Wang

7

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15 April 2020

publication date

1 September 2018

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15 April 2020

published in

Nucleic Acids Research

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15 April 2020

volume

46

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15 April 2020

issue

15

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15 April 2020

page(s)

7793-7804

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Creative Commons Attribution-NonCommercial 4.0 International

15 April 2020

copyright license

start time

28 July 2018

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April 2022 Public Data File from Crossref

copyright status

copyrighted

0 references

cites work

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A method and server for predicting damaging missense mutations

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12 December 2020

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12 December 2020

Assessment of computational methods for predicting the effects of missense mutations in human cancers

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12 December 2020

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12 December 2020

The evaluation of tools used to predict the impact of missense variants is hindered by two types of circularity

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12 December 2020

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12 December 2020

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12 December 2020

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12 December 2020

Performance of In Silico Tools for the Evaluation of UGT1A1 Missense Variants

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12 December 2020

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12 December 2020

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12 December 2020

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12 December 2020

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12 December 2020

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12 December 2020

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12 December 2020

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12 December 2020

M-CAP eliminates a majority of variants of uncertain significance in clinical exomes at high sensitivity

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12 December 2020

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12 December 2020

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12 December 2020

Identifiers

DOI

10.1093/NAR/GKY678

1 reference

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:30060008%20AND%20SRC:MED&resulttype=core&format=json

15 April 2020

1 reference

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15 April 2020

PubMed publication ID

30060008

1 reference