Serveur d'exploration autour du libre accès en Belgique

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Beegle: from literature mining to disease-gene discovery

Identifieur interne : 000029 ( France/Analysis ); précédent : 000028; suivant : 000030

Beegle: from literature mining to disease-gene discovery

Auteurs : Sarah Elshal [Belgique] ; Léon-Charles Tranchevent [Belgique, France] ; Alejandro Sifrim [Belgique, Royaume-Uni] ; Amin Ardeshirdavani [Belgique] ; Jesse Davis [Belgique] ; Yves Moreau [Belgique]

Source :

RBID : PMC:4737179

Abstract

Disease-gene identification is a challenging process that has multiple applications within functional genomics and personalized medicine. Typically, this process involves both finding genes known to be associated with the disease (through literature search) and carrying out preliminary experiments or screens (e.g. linkage or association studies, copy number analyses, expression profiling) to determine a set of promising candidates for experimental validation. This requires extensive time and monetary resources. We describe Beegle, an online search and discovery engine that attempts to simplify this process by automating the typical approaches. It starts by mining the literature to quickly extract a set of genes known to be linked with a given query, then it integrates the learning methodology of Endeavour (a gene prioritization tool) to train a genomic model and rank a set of candidate genes to generate novel hypotheses. In a realistic evaluation setup, Beegle has an average recall of 84% in the top 100 returned genes as a search engine, which improves the discovery engine by 12.6% in the top 5% prioritized genes. Beegle is publicly available at http://beegle.esat.kuleuven.be/.


Url:
DOI: 10.1093/nar/gkv905
PubMed: 26384564
PubMed Central: 4737179


Affiliations:


Links toward previous steps (curation, corpus...)


Links to Exploration step

PMC:4737179

Le document en format XML

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<p>Disease-gene identification is a challenging process that has multiple applications within functional genomics and personalized medicine. Typically, this process involves both finding genes known to be associated with the disease (through literature search) and carrying out preliminary experiments or screens (e.g. linkage or association studies, copy number analyses, expression profiling) to determine a set of promising candidates for experimental validation. This requires extensive time and monetary resources. We describe
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</div1>
</back>
</TEI>
<affiliations>
<list>
<country>
<li>Belgique</li>
<li>France</li>
<li>Royaume-Uni</li>
</country>
<settlement>
<li>Lyon</li>
<li>Villeurbanne</li>
</settlement>
</list>
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<country name="Belgique">
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<name sortKey="Elshal, Sarah" sort="Elshal, Sarah" uniqKey="Elshal S" first="Sarah" last="Elshal">Sarah Elshal</name>
</noRegion>
<name sortKey="Ardeshirdavani, Amin" sort="Ardeshirdavani, Amin" uniqKey="Ardeshirdavani A" first="Amin" last="Ardeshirdavani">Amin Ardeshirdavani</name>
<name sortKey="Ardeshirdavani, Amin" sort="Ardeshirdavani, Amin" uniqKey="Ardeshirdavani A" first="Amin" last="Ardeshirdavani">Amin Ardeshirdavani</name>
<name sortKey="Davis, Jesse" sort="Davis, Jesse" uniqKey="Davis J" first="Jesse" last="Davis">Jesse Davis</name>
<name sortKey="Elshal, Sarah" sort="Elshal, Sarah" uniqKey="Elshal S" first="Sarah" last="Elshal">Sarah Elshal</name>
<name sortKey="Moreau, Yves" sort="Moreau, Yves" uniqKey="Moreau Y" first="Yves" last="Moreau">Yves Moreau</name>
<name sortKey="Moreau, Yves" sort="Moreau, Yves" uniqKey="Moreau Y" first="Yves" last="Moreau">Yves Moreau</name>
<name sortKey="Sifrim, Alejandro" sort="Sifrim, Alejandro" uniqKey="Sifrim A" first="Alejandro" last="Sifrim">Alejandro Sifrim</name>
<name sortKey="Sifrim, Alejandro" sort="Sifrim, Alejandro" uniqKey="Sifrim A" first="Alejandro" last="Sifrim">Alejandro Sifrim</name>
<name sortKey="Tranchevent, Leon Charles" sort="Tranchevent, Leon Charles" uniqKey="Tranchevent L" first="Léon-Charles" last="Tranchevent">Léon-Charles Tranchevent</name>
<name sortKey="Tranchevent, Leon Charles" sort="Tranchevent, Leon Charles" uniqKey="Tranchevent L" first="Léon-Charles" last="Tranchevent">Léon-Charles Tranchevent</name>
</country>
<country name="France">
<noRegion>
<name sortKey="Tranchevent, Leon Charles" sort="Tranchevent, Leon Charles" uniqKey="Tranchevent L" first="Léon-Charles" last="Tranchevent">Léon-Charles Tranchevent</name>
</noRegion>
<name sortKey="Tranchevent, Leon Charles" sort="Tranchevent, Leon Charles" uniqKey="Tranchevent L" first="Léon-Charles" last="Tranchevent">Léon-Charles Tranchevent</name>
<name sortKey="Tranchevent, Leon Charles" sort="Tranchevent, Leon Charles" uniqKey="Tranchevent L" first="Léon-Charles" last="Tranchevent">Léon-Charles Tranchevent</name>
</country>
<country name="Royaume-Uni">
<noRegion>
<name sortKey="Sifrim, Alejandro" sort="Sifrim, Alejandro" uniqKey="Sifrim A" first="Alejandro" last="Sifrim">Alejandro Sifrim</name>
</noRegion>
</country>
</tree>
</affiliations>
</record>

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