Literature DB >> 27322403

The GeneCards Suite: From Gene Data Mining to Disease Genome Sequence Analyses.

Gil Stelzer1,2, Naomi Rosen1,2, Inbar Plaschkes1,3, Shahar Zimmerman1, Michal Twik1, Simon Fishilevich1, Tsippi Iny Stein1, Ron Nudel1, Iris Lieder3, Yaron Mazor3, Sergey Kaplan3, Dvir Dahary3,4, David Warshawsky5, Yaron Guan-Golan5, Asher Kohn5, Noa Rappaport1, Marilyn Safran1, Doron Lancet1,6.   

Abstract

GeneCards, the human gene compendium, enables researchers to effectively navigate and inter-relate the wide universe of human genes, diseases, variants, proteins, cells, and biological pathways. Our recently launched Version 4 has a revamped infrastructure facilitating faster data updates, better-targeted data queries, and friendlier user experience. It also provides a stronger foundation for the GeneCards suite of companion databases and analysis tools. Improved data unification includes gene-disease links via MalaCards and merged biological pathways via PathCards, as well as drug information and proteome expression. VarElect, another suite member, is a phenotype prioritizer for next-generation sequencing, leveraging the GeneCards and MalaCards knowledgebase. It automatically infers direct and indirect scored associations between hundreds or even thousands of variant-containing genes and disease phenotype terms. VarElect's capabilities, either independently or within TGex, our comprehensive variant analysis pipeline, help prepare for the challenge of clinical projects that involve thousands of exome/genome NGS analyses. © 2016 by John Wiley & Sons, Inc.
Copyright © 2016 John Wiley & Sons, Inc.

Entities:  

Keywords:  GeneCards; VarElect; bioinformatics; biological database; diseases; gene prioritization; human genes; integrated information retrieval; next generation sequencing

Mesh:

Substances:

Year:  2016        PMID: 27322403     DOI: 10.1002/cpbi.5

Source DB:  PubMed          Journal:  Curr Protoc Bioinformatics        ISSN: 1934-3396


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