title: MalaCards: A Comprehensive Automatically-Mined Database of Human Diseases.
abstract: Systems medicine provides insights into mechanisms of human diseases, and expedites the development of better diagnostics and drugs. To facilitate such strategies, we initiated MalaCards, a compendium of human diseases and their annotations, integrating and often remodeling information from 64 data sources. MalaCards employs, among others, the proven automatic data-mining strategies established in the construction of GeneCards, our widely used compendium of human genes. The development of MalaCards poses many algorithmic challenges, such as disease name unification, integrated classification, gene-disease association, and disease-targeted expression analysis. MalaCards displays a Web card for each of >19,000 human diseases, with 17 sections, including textual summaries, related diseases, related genes, genetic variations and tests, and relevant publications. Also included are a powerful search engine and a variety of categorized disease lists. This unit describes two basic protocols to search and browse MalaCards effectively.
authors.affiliation: Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel.
authors.forename: Noa
authors.initials: N
authors.lastname: Rappaport
authors.forename: Michal
authors.initials: M
authors.lastname: Twik
authors.forename: Noam
authors.initials: N
authors.lastname: Nativ
authors.forename: Gil
authors.initials: G
authors.lastname: Stelzer
authors.forename: Iris
authors.initials: I
authors.lastname: Bahir
authors.forename: Tsippi Iny
authors.initials: TI
authors.lastname: Stein
authors.forename: Marilyn
authors.initials: M
authors.lastname: Safran
authors.forename: Doron
authors.initials: D
authors.lastname: Lancet
mesh_terms: D001331:Automation; D057225:Data Mining; D003628:Database Management Systems; D004194:Disease; D006801:Humans; D014584:User-Computer Interface
keywords: GeneCards; bioinformatics; biological database; disease database; integrated information retrieval; medical database; network medicine; symptoms