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MetaRanker 2.0: a web server for prioritization of genetic variation data
MetaRanker 2.0 is a web server for prioritization of common and rare frequency genetic variation data. Based on heterogeneous data sets including genetic association data, protein–protein interactions, large-scale text-mining data, copy number variation data and gene expression experiments, MetaRank...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3692047/ https://www.ncbi.nlm.nih.gov/pubmed/23703204 http://dx.doi.org/10.1093/nar/gkt387 |
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author | Pers, Tune H. Dworzyński, Piotr Thomas, Cecilia Engel Lage, Kasper Brunak, Søren |
author_facet | Pers, Tune H. Dworzyński, Piotr Thomas, Cecilia Engel Lage, Kasper Brunak, Søren |
author_sort | Pers, Tune H. |
collection | PubMed |
description | MetaRanker 2.0 is a web server for prioritization of common and rare frequency genetic variation data. Based on heterogeneous data sets including genetic association data, protein–protein interactions, large-scale text-mining data, copy number variation data and gene expression experiments, MetaRanker 2.0 prioritizes the protein-coding part of the human genome to shortlist candidate genes for targeted follow-up studies. MetaRanker 2.0 is made freely available at www.cbs.dtu.dk/services/MetaRanker-2.0. |
format | Online Article Text |
id | pubmed-3692047 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-36920472013-06-25 MetaRanker 2.0: a web server for prioritization of genetic variation data Pers, Tune H. Dworzyński, Piotr Thomas, Cecilia Engel Lage, Kasper Brunak, Søren Nucleic Acids Res Articles MetaRanker 2.0 is a web server for prioritization of common and rare frequency genetic variation data. Based on heterogeneous data sets including genetic association data, protein–protein interactions, large-scale text-mining data, copy number variation data and gene expression experiments, MetaRanker 2.0 prioritizes the protein-coding part of the human genome to shortlist candidate genes for targeted follow-up studies. MetaRanker 2.0 is made freely available at www.cbs.dtu.dk/services/MetaRanker-2.0. Oxford University Press 2013-07 2013-05-22 /pmc/articles/PMC3692047/ /pubmed/23703204 http://dx.doi.org/10.1093/nar/gkt387 Text en © The Author(s) 2013. Published by Oxford University Press. http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Pers, Tune H. Dworzyński, Piotr Thomas, Cecilia Engel Lage, Kasper Brunak, Søren MetaRanker 2.0: a web server for prioritization of genetic variation data |
title | MetaRanker 2.0: a web server for prioritization of genetic variation data |
title_full | MetaRanker 2.0: a web server for prioritization of genetic variation data |
title_fullStr | MetaRanker 2.0: a web server for prioritization of genetic variation data |
title_full_unstemmed | MetaRanker 2.0: a web server for prioritization of genetic variation data |
title_short | MetaRanker 2.0: a web server for prioritization of genetic variation data |
title_sort | metaranker 2.0: a web server for prioritization of genetic variation data |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3692047/ https://www.ncbi.nlm.nih.gov/pubmed/23703204 http://dx.doi.org/10.1093/nar/gkt387 |
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