Literature DB >> 23973272

An innovative portal for rare genetic diseases research: the semantic Diseasecard.

Pedro Lopes1, José Luís Oliveira.   

Abstract

Advances in "omics" hardware and software technologies are bringing rare diseases research back from the sidelines. Whereas in the past these disorders were seldom considered relevant, in the era of whole genome sequencing the direct connections between rare phenotypes and a reduced set of genes are of vital relevance. This increased interest in rare genetic diseases research is pushing forward investment and effort towards the creation of software in the field, and leveraging the wealth of available life sciences data. Alas, most of these tools target one or more rare diseases, are focused solely on a single type of user, or are limited to the most relevant scientific breakthroughs for a specific niche. Furthermore, despite some high quality efforts, the ever-growing number of resources, databases, services and applications is still a burden to this area. Hence, there is a clear interest in new strategies to deliver a holistic perspective over the entire rare genetic diseases research domain. This is Diseasecard's reasoning, to build a true lightweight knowledge base covering rare genetic diseases. Developed with the latest semantic web technologies, this portal delivers unified access to a comprehensive network for researchers, clinicians, patients and bioinformatics developers. With in-context access covering over 20 distinct heterogeneous resources, Diseasecard's workspace provides access to the most relevant scientific knowledge regarding a given disorder, whether through direct common identifiers or through full-text search over all connected resources. In addition to its user-oriented features, Diseasecard's semantic knowledge base is also available for direct querying, enabling everyone to include rare genetic diseases knowledge in new or existing information systems. Diseasecard is publicly available at http://bioinformatics.ua.pt/diseasecard/.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Biomedical semantics; Data integration; Interoperability; Rare diseases; Semantic web

Mesh:

Year:  2013        PMID: 23973272     DOI: 10.1016/j.jbi.2013.08.006

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  9 in total

1.  LORD: a phenotype-genotype semantically integrated biomedical data tool to support rare disease diagnosis coding in health information systems.

Authors:  Remy Choquet; Meriem Maaroufi; Yannick Fonjallaz; Albane de Carrara; Pierre-Yves Vandenbussche; Ferdinand Dhombres; Paul Landais
Journal:  AMIA Annu Symp Proc       Date:  2015-11-05

2.  An automated real-time integration and interoperability framework for bioinformatics.

Authors:  Pedro Lopes; José Luís Oliveira
Journal:  BMC Bioinformatics       Date:  2015-10-13       Impact factor: 3.169

Review 3.  RD-Connect: an integrated platform connecting databases, registries, biobanks and clinical bioinformatics for rare disease research.

Authors:  Rachel Thompson; Louise Johnston; Domenica Taruscio; Lucia Monaco; Christophe Béroud; Ivo G Gut; Mats G Hansson; Peter-Bram A 't Hoen; George P Patrinos; Hugh Dawkins; Monica Ensini; Kurt Zatloukal; David Koubi; Emma Heslop; Justin E Paschall; Manuel Posada; Peter N Robinson; Kate Bushby; Hanns Lochmüller
Journal:  J Gen Intern Med       Date:  2014-08       Impact factor: 5.128

4.  DisGeNET: a discovery platform for the dynamical exploration of human diseases and their genes.

Authors:  Janet Piñero; Núria Queralt-Rosinach; Àlex Bravo; Jordi Deu-Pons; Anna Bauer-Mehren; Martin Baron; Ferran Sanz; Laura I Furlong
Journal:  Database (Oxford)       Date:  2015-04-15       Impact factor: 3.451

Review 5.  MalaCards: an amalgamated human disease compendium with diverse clinical and genetic annotation and structured search.

Authors:  Noa Rappaport; Michal Twik; Inbar Plaschkes; Ron Nudel; Tsippi Iny Stein; Jacob Levitt; Moran Gershoni; C Paul Morrey; Marilyn Safran; Doron Lancet
Journal:  Nucleic Acids Res       Date:  2016-11-28       Impact factor: 16.971

6.  Linked Registries: Connecting Rare Diseases Patient Registries through a Semantic Web Layer.

Authors:  Pedro Sernadela; Lorena González-Castro; Claudio Carta; Eelke van der Horst; Pedro Lopes; Rajaram Kaliyaperumal; Mark Thompson; Rachel Thompson; Núria Queralt-Rosinach; Estrella Lopez; Libby Wood; Agata Robertson; Claudia Lamanna; Mette Gilling; Michael Orth; Roxana Merino-Martinez; Manuel Posada; Domenica Taruscio; Hanns Lochmüller; Peter Robinson; Marco Roos; José Luís Oliveira
Journal:  Biomed Res Int       Date:  2017-10-29       Impact factor: 3.411

7.  An integrative knowledge graph for rare diseases, derived from the Genetic and Rare Diseases Information Center (GARD).

Authors:  Qian Zhu; Dac-Trung Nguyen; Ivan Grishagin; Noel Southall; Eric Sid; Anne Pariser
Journal:  J Biomed Semantics       Date:  2020-11-12

8.  Computer-assisted initial diagnosis of rare diseases.

Authors:  Rui Alves; Marc Piñol; Jordi Vilaplana; Ivan Teixidó; Joaquim Cruz; Jorge Comas; Ester Vilaprinyo; Albert Sorribas; Francesc Solsona
Journal:  PeerJ       Date:  2016-07-21       Impact factor: 2.984

9.  DISNET: a framework for extracting phenotypic disease information from public sources.

Authors:  Gerardo Lagunes-García; Alejandro Rodríguez-González; Lucía Prieto-Santamaría; Eduardo P García Del Valle; Massimiliano Zanin; Ernestina Menasalvas-Ruiz
Journal:  PeerJ       Date:  2020-02-17       Impact factor: 2.984

  9 in total

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