Gene cards

Download chapter PDF. Its popularity encouraged the expansion of the knowledgebase to provide the same functionality for diseases and pathways.

GeneCards www. We now introduce GeneCards Version 3, featuring a speedy and sophisticated search engine and a revamped, technologically enabling infrastructure, catering to the expanding needs of biomedical researchers. A key focus is on gene-set analyses, which leverage GeneCards' unique wealth of combinatorial annotations. These include the GeneALaCart batch query facility, which tabulates user-selected annotations for multiple genes and GeneDecks, which identifies similar genes with shared annotations, and finds set-shared annotations by descriptor enrichment analysis. Such set-centric features address a host of applications, including microarray data analysis, cross-database annotation mapping and gene-disorder associations for drug targeting. We highlight the new Version 3 database architecture, its multi-faceted search engine, and its semi-automated quality assurance system. Data enhancements include an expanded visualization of gene expression patterns in normal and cancer tissues, an integrated alternative splicing pattern display, and augmented multi-source SNPs and pathways sections.

Gene cards

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

TGex supports comprehensive data scrutiny, from raw patient genetic data a VCF filethrough intermediate annotations and interpretations, gene cards, to detailed final reports.

GeneCards is a database of human genes that provides genomic , proteomic , transcriptomic , genetic and functional information on all known and predicted human genes. The database aims at providing a comprehensive view of the current available biomedical information about the searched gene, including its aliases and identifiers, the encoded proteins , associated diseases and variations, its function, relevant publications and more. Since , the GeneCards database has been widely used by bioinformatics , genomics and medical communities for more than 24 years. Since the s, sequence information has become increasingly abundant; subsequently many laboratories realized this and began to store such information in central repositories-the primary database. Since , the database has integrated more data resources and data types, such as protein expression and gene network information. It has also improved the speed and sophistication of the search engine, and expanded from a gene-centric dogma to contain gene-set analyses.

Expression-based analysis is based on data which were manually collected, filtered, modeled, annotated and integrated in our knowledgebase. Gene expression data for normal and diseased tissues and cells are separated and displayed in different sections. Provides the most valuable results without the need for complex bioinformatics expertise or tools. Developed by biologists, for biologists! Results are directly linked to detailed cards in the LifeMap integrated biomedical knowledgebase and to relevant external data sources. Provides categorized results lists of matched tissues, cells, diseases, pathways, compounds and gene ontology GO terms to enhance gene set interpretation. The expression-based matching algorithm considers gene annotations including gene -disease association and gene specificity, enrichment or abundance in each specific tissue or cell. GeneAnalytics enables researchers to identify tissues and cell types related to their gene sets, to characterize tissue samples and cultured cells and assess their purity and explore their selective markers. The key strength of GeneAnalytics stems from the extensive manually curated gene expression data available in LifeMap Discovery. GeneAnalytics enables researchers to identify diseases related to their gene sets, and to discover disease mechanisms and specific disease markers.

Gene cards

Federal government websites often end in. The site is secure. GeneCards www. We now introduce GeneCards Version 3, featuring a speedy and sophisticated search engine and a revamped, technologically enabling infrastructure, catering to the expanding needs of biomedical researchers. These include the GeneALaCart batch query facility, which tabulates user-selected annotations for multiple genes and GeneDecks, which identifies similar genes with shared annotations, and finds set-shared annotations by descriptor enrichment analysis. Such set-centric features address a host of applications, including microarray data analysis, cross-database annotation mapping and gene-disorder associations for drug targeting. We highlight the new Version 3 database architecture, its multi-faceted search engine, and its semi-automated quality assurance system.

5 letter s words

Nat Genet 50 4 — Substances Proteome. Int J Clin Exp Pathol 10 5 — It allows retrieval of information about multiple genes in a batch query. In this view Fig. Archived from the original PDF on Neurobiol Aging e7— e Those annotations are amplified with the VarElect score, which is also used as the default sort column for the SVs list. 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. In such scenarios, VarElect is utilized to analyze gene lists retrieved from various methodologies, helping to focus on more affordable candidate gene lists based on gene-phenotype information. Cancer census gene list genes are marked with a CC icon.

GeneCards is a database of human genes that provides genomic, proteomic, transcriptomic, genetic and functional information on all known and predicted human genes. The database aims at providing a quick overview of the current available biomedical information about the searched gene, including the human genes, the encoded proteins, and the relevant diseases. The information is carefully gathered and selected from these databases by its engine.

Each section displays disease-specific information and contains deep links to supporting sources, often with superscripts when multiple sources contain details about the datum. Eur J Hum Genet 25 12 — Typical NGS analyses of a patient discover tens of thousands non-reference coding single nucleotide variants SNVs , but only one or very few are expected to be significant for the relevant disease. In this vein, the GeneCards Suite tools are useful for SVs interpretation, by helping to identify and prioritize SVs using the potential disease-causing genes damaged in each SV. Bioinformatics 29 2 — SVs might influence genes over large distances by altering non-coding functional components such as regulatory elements and non-coding RNA genes. VarElect identifies and prioritizes genes and variants according to their relevance to diseases and phenotypes of interest and allows one to explore relationships between genes and gene variants and selected diseases, phenotypes, or any pertinent biological term via relevant pathways, interaction networks, and publications. VarElect helped us solve clinical cases in our own laboratory Alkelai et al. Archived from the original on Trends Genet 24 5 — Top candidate variants, along with disease association evidence, are automatically pulled into the detailed clinical report. In situations like these, old URLs are redirected to new ones. These primary sources provide annotations for aliases, descriptions, previous symbols, gene category, location, summaries, paralogs, and ncRNA details. Diseases with names that are identical except for type specification e. Omitted GeneCards sections include domains, expression, function, localization, orthologs, paralogs, products, sources, and transcripts.