Integrative ‘Omic’ Approach Towards Understanding the Nature of Human Diseases
Identifieur interne : 000020 ( Main/Exploration ); précédent : 000019; suivant : 000021Integrative ‘Omic’ Approach Towards Understanding the Nature of Human Diseases
Auteurs : Borut Peterlin ; A. Maver [Slovénie]Source :
- Balkan Journal of Medical Genetics [ 1311-0160 ] ; 2012-12-01.
Abstract
The combination of improving technologies for molecular interrogation of global molecular alterations in human diseases along with increases in computational capacity, have enabled unprecedented insight into disease etiology, pathogenesis and have enabled new possibilities for biomarker development. A large body of data has accumulated over recent years, with a most prominent increase in information originating from genomic, transcriptomic and proteomic profiling levels. However, the complexity of the data made discovery of highorder disease mechanisms involving various biological layers, difficult, and therefore required new approaches toward integration of such data into a complete representation of molecular events occurring on cellular level. For this reason, we developed a new mode of integration of results coming from heterogeneous origins, using rank statistics of results from each profiling level. Due to the increased use of nextgeneration sequencing technology, experimental information is becoming increasingly more associated to sequence information, for which reason we have decided to synthesize the heterogeneous results using the information of their genomic position. We therefore propose a novel positional integratomic approach toward studying ‘omic’ information in human disease.
Url:
DOI: 10.2478/v10034-012-0018-7
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title xml:lang="en">Integrative ‘Omic’ Approach Towards Understanding the Nature of Human Diseases</title><author><name sortKey="Peterlin, Borut" sort="Peterlin, Borut" uniqKey="Peterlin B" first="Borut" last="Peterlin">Borut Peterlin</name></author><author><name sortKey="Maver, A" sort="Maver, A" uniqKey="Maver A" first="A" last="Maver">A. Maver</name></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:1702BD023F90CF45DB70E3E9277DCB545497A8E2</idno><date when="2012-12-22" year="2012">2012-12-22</date><idno type="doi">10.2478/v10034-012-0018-7</idno><idno type="url">https://api.istex.fr/document/1702BD023F90CF45DB70E3E9277DCB545497A8E2/fulltext/pdf</idno><idno type="wicri:Area/Main/Corpus">002666</idno><idno type="wicri:Area/Main/Curation">002326</idno><idno type="wicri:Area/Main/Exploration">000020</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">Integrative ‘Omic’ Approach Towards Understanding the Nature of Human Diseases</title><author><name sortKey="Peterlin, Borut" sort="Peterlin, Borut" uniqKey="Peterlin B" first="Borut" last="Peterlin">Borut Peterlin</name><affiliation><wicri:noCountry code="subField">Ph.D</wicri:noCountry></affiliation></author><author><name sortKey="Maver, A" sort="Maver, A" uniqKey="Maver A" first="A" last="Maver">A. Maver</name><affiliation wicri:level="1"><country xml:lang="fr">Slovénie</country><wicri:regionArea>Clinical Institute of Medical Genetics, Department of Obstetrics and Gynecology, University Medical Centre Ljubljana, 3 Šlajmerjeva Street, Ljubljana 1000</wicri:regionArea><wicri:noRegion>Ljubljana 1000</wicri:noRegion></affiliation></author></analytic><monogr></monogr><series><title level="j">Balkan Journal of Medical Genetics</title><idno type="ISSN">1311-0160</idno><imprint><publisher>Versita</publisher><date type="published" when="2012-12-01">2012-12-01</date><biblScope unit="volume">15</biblScope><biblScope unit="issue">Supplement</biblScope><biblScope unit="page" from="45">45</biblScope><biblScope unit="page" to="50">50</biblScope></imprint><idno type="ISSN">1311-0160</idno></series><idno type="istex">1702BD023F90CF45DB70E3E9277DCB545497A8E2</idno><idno type="DOI">10.2478/v10034-012-0018-7</idno><idno type="ArticleID">v10034-012-0018-7</idno><idno type="Related-article-Href">v10034-012-0018-7.pdf</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">1311-0160</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The combination of improving technologies for molecular interrogation of global molecular alterations in human diseases along with increases in computational capacity, have enabled unprecedented insight into disease etiology, pathogenesis and have enabled new possibilities for biomarker development. A large body of data has accumulated over recent years, with a most prominent increase in information originating from genomic, transcriptomic and proteomic profiling levels. However, the complexity of the data made discovery of highorder disease mechanisms involving various biological layers, difficult, and therefore required new approaches toward integration of such data into a complete representation of molecular events occurring on cellular level. For this reason, we developed a new mode of integration of results coming from heterogeneous origins, using rank statistics of results from each profiling level. Due to the increased use of nextgeneration sequencing technology, experimental information is becoming increasingly more associated to sequence information, for which reason we have decided to synthesize the heterogeneous results using the information of their genomic position. We therefore propose a novel positional integratomic approach toward studying ‘omic’ information in human disease.</div></front></TEI><affiliations><list><country><li>Slovénie</li></country></list><tree><noCountry><name sortKey="Peterlin, Borut" sort="Peterlin, Borut" uniqKey="Peterlin B" first="Borut" last="Peterlin">Borut Peterlin</name></noCountry><country name="Slovénie"><noRegion><name sortKey="Maver, A" sort="Maver, A" uniqKey="Maver A" first="A" last="Maver">A. Maver</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Sante/explor/ParkinsonV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000020 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000020 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Wicri/Sante
|area= ParkinsonV1
|flux= Main
|étape= Exploration
|type= RBID
|clé= ISTEX:1702BD023F90CF45DB70E3E9277DCB545497A8E2
|texte= Integrative ‘Omic’ Approach Towards Understanding the Nature of Human Diseases
}}
| This area was generated with Dilib version V0.6.23. |  |