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MalaCards: an amalgamated human disease compendium with diverse clinical and genetic annotation and structured search
The MalaCards human disease database (http://www.malacards.org/) is an integrated compendium of annotated diseases mined from 68 data sources. MalaCards has a web card for each of ∼20 000 disease entries, in six global categories. It portrays a broad array of annotation topics in 15 sections, includ...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Oxford University Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5210521/ https://www.ncbi.nlm.nih.gov/pubmed/27899610 http://dx.doi.org/10.1093/nar/gkw1012 |
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author | Rappaport, Noa Twik, Michal Plaschkes, Inbar Nudel, Ron Iny Stein, Tsippi Levitt, Jacob Gershoni, Moran Morrey, C. Paul Safran, Marilyn Lancet, Doron |
author_facet | Rappaport, Noa Twik, Michal Plaschkes, Inbar Nudel, Ron Iny Stein, Tsippi Levitt, Jacob Gershoni, Moran Morrey, C. Paul Safran, Marilyn Lancet, Doron |
author_sort | Rappaport, Noa |
collection | PubMed |
description | The MalaCards human disease database (http://www.malacards.org/) is an integrated compendium of annotated diseases mined from 68 data sources. MalaCards has a web card for each of ∼20 000 disease entries, in six global categories. It portrays a broad array of annotation topics in 15 sections, including Summaries, Symptoms, Anatomical Context, Drugs, Genetic Tests, Variations and Publications. The Aliases and Classifications section reflects an algorithm for disease name integration across often-conflicting sources, providing effective annotation consolidation. A central feature is a balanced Genes section, with scores reflecting the strength of disease-gene associations. This is accompanied by other gene-related disease information such as pathways, mouse phenotypes and GO-terms, stemming from MalaCards’ affiliation with the GeneCards Suite of databases. MalaCards’ capacity to inter-link information from complementary sources, along with its elaborate search function, relational database infrastructure and convenient data dumps, allows it to tackle its rich disease annotation landscape, and facilitates systems analyses and genome sequence interpretation. MalaCards adopts a ‘flat’ disease-card approach, but each card is mapped to popular hierarchical ontologies (e.g. International Classification of Diseases, Human Phenotype Ontology and Unified Medical Language System) and also contains information about multi-level relations among diseases, thereby providing an optimal tool for disease representation and scrutiny. |
format | Online Article Text |
id | pubmed-5210521 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-52105212017-01-05 MalaCards: an amalgamated human disease compendium with diverse clinical and genetic annotation and structured search Rappaport, Noa Twik, Michal Plaschkes, Inbar Nudel, Ron Iny Stein, Tsippi Levitt, Jacob Gershoni, Moran Morrey, C. Paul Safran, Marilyn Lancet, Doron Nucleic Acids Res Database Issue The MalaCards human disease database (http://www.malacards.org/) is an integrated compendium of annotated diseases mined from 68 data sources. MalaCards has a web card for each of ∼20 000 disease entries, in six global categories. It portrays a broad array of annotation topics in 15 sections, including Summaries, Symptoms, Anatomical Context, Drugs, Genetic Tests, Variations and Publications. The Aliases and Classifications section reflects an algorithm for disease name integration across often-conflicting sources, providing effective annotation consolidation. A central feature is a balanced Genes section, with scores reflecting the strength of disease-gene associations. This is accompanied by other gene-related disease information such as pathways, mouse phenotypes and GO-terms, stemming from MalaCards’ affiliation with the GeneCards Suite of databases. MalaCards’ capacity to inter-link information from complementary sources, along with its elaborate search function, relational database infrastructure and convenient data dumps, allows it to tackle its rich disease annotation landscape, and facilitates systems analyses and genome sequence interpretation. MalaCards adopts a ‘flat’ disease-card approach, but each card is mapped to popular hierarchical ontologies (e.g. International Classification of Diseases, Human Phenotype Ontology and Unified Medical Language System) and also contains information about multi-level relations among diseases, thereby providing an optimal tool for disease representation and scrutiny. Oxford University Press 2017-01-04 2016-11-24 /pmc/articles/PMC5210521/ /pubmed/27899610 http://dx.doi.org/10.1093/nar/gkw1012 Text en © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Database Issue Rappaport, Noa Twik, Michal Plaschkes, Inbar Nudel, Ron Iny Stein, Tsippi Levitt, Jacob Gershoni, Moran Morrey, C. Paul Safran, Marilyn Lancet, Doron MalaCards: an amalgamated human disease compendium with diverse clinical and genetic annotation and structured search |
title | MalaCards: an amalgamated human disease compendium with diverse clinical and genetic annotation and structured search |
title_full | MalaCards: an amalgamated human disease compendium with diverse clinical and genetic annotation and structured search |
title_fullStr | MalaCards: an amalgamated human disease compendium with diverse clinical and genetic annotation and structured search |
title_full_unstemmed | MalaCards: an amalgamated human disease compendium with diverse clinical and genetic annotation and structured search |
title_short | MalaCards: an amalgamated human disease compendium with diverse clinical and genetic annotation and structured search |
title_sort | malacards: an amalgamated human disease compendium with diverse clinical and genetic annotation and structured search |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5210521/ https://www.ncbi.nlm.nih.gov/pubmed/27899610 http://dx.doi.org/10.1093/nar/gkw1012 |
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