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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...

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Autores principales: Rappaport, Noa, Twik, Michal, Plaschkes, Inbar, Nudel, Ron, Iny Stein, Tsippi, Levitt, Jacob, Gershoni, Moran, Morrey, C. Paul, Safran, Marilyn, Lancet, Doron
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
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.
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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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