PredictSNP: Robust and Accurate Consensus Classifier for Prediction of Disease-Related Mutations.

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F14%3A00077795" target="_blank" >RIV/00216224:14310/14:00077795 - isvavai.cz</a>

Alternative codes found

RIV/00216305:26230/14:PU122817

Result on the web

<a href="http://dx.doi.org/10.1371/journal.pcbi.1003440" target="_blank" >http://dx.doi.org/10.1371/journal.pcbi.1003440</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1371/journal.pcbi.1003440" target="_blank" >10.1371/journal.pcbi.1003440</a>

Result language

angličtina

Original language name

PredictSNP: Robust and Accurate Consensus Classifier for Prediction of Disease-Related Mutations.

Original language description

Single nucleotide variants represent a prevalent form of genetic variation. Mutations in the coding regions are frequently associated with the development of various genetic diseases. Computational tools for the prediction of the effects of mutations onprotein function are very important for analysis of single nucleotide variants and their prioritization for experimental characterization. Many computational tools are already widely employed for this purpose. Unfortunately, their comparison and furtherimprovement is hindered by large overlaps between the training datasets and benchmark datasets, which lead to biased and overly optimistic reported performances. In this study, we have constructed three independent datasets by removing all duplicities, inconsistencies and mutations previously used in the training of evaluated tools.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

CE - Biochemistry

OECD FORD branch

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Project

<a href="/en/project/EE2.3.30.0037" target="_blank" >EE2.3.30.0037: Employment of Best Young Scientists for International Cooperation Empowerment</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2014

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

PLOS Computational Biology

ISSN

1553-734X

e-ISSN

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Volume of the periodical

10

Issue of the periodical within the volume

1

Country of publishing house

US - UNITED STATES

Number of pages

11

Pages from-to

"nestrankovano"

UT code for WoS article

000337948500040

EID of the result in the Scopus database

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