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

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‐ta...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Current Protocols in Bioinformatics 2016-06, Vol.54 (1), p.1.30.1-1.30.33
Hauptverfasser: Stelzer, Gil, Rosen, Naomi, Plaschkes, Inbar, Zimmerman, Shahar, Twik, Michal, Fishilevich, Simon, Stein, Tsippi Iny, Nudel, Ron, Lieder, Iris, Mazor, Yaron, Kaplan, Sergey, Dahary, Dvir, Warshawsky, David, Guan‐Golan, Yaron, Kohn, Asher, Rappaport, Noa, Safran, Marilyn, Lancet, Doron
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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.
ISSN:1934-3396
1934-340X
DOI:10.1002/cpbi.5