Gene cards

GeneCards, the human gene compendium, enables researchers to effectively navigate and inter-relate the wide universe of human genes, diseases, gene cards, variants, proteins, cells, and biological pathways. Our gene cards 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.

Download chapter PDF. Its popularity encouraged the expansion of the knowledgebase to provide the same functionality for diseases and pathways. Together with this growth came the realization that the depth and breadth of the data itself, while extremely useful in its own right, could be leveraged to solve problems. Today, there is increasing recognition by the scientific community that NGS is a pivotal technology for diagnosing the genetic cause of many human diseases; several large-scale projects implement NGS as a key instrument for elucidating the genetic components of rare diseases and cancer Bamshad et al. Other clinical studies aimed at deciphering monogenic and complex diseases have also demonstrated the effectiveness of NGS approaches including whole genome, whole exome, and gene panel sequencing van den Veyver and Eng ; Yang et al.

Gene cards

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. GeneCards now provides direct links to gene-related research reagents such as antibodies, recombinant proteins, DNA clones and inhibitory RNAs and features gene-related drugs and compounds lists. We also portray the GeneCards Inferred Functionality Score annotation landscape tool for scoring a gene's functional information status. Finally, we delineate examples of applications and collaborations that have benefited from the GeneCards suite. Database URL: www. Abstract GeneCards www. Publication types Research Support, Non-U.

Archived from the original PDF on Nature —

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.

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. Since , the GeneCards database has been widely used by bioinformatics, genomics and medical communities for more than 15 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.

Gene cards

You must indicate the input species before inserting your gene set. This information is only required in order to identify your gene symbols and their orthologs. The matching algorithm considers genes and gene orthologs, and differs between the distinct sections:. Please note that changing the input species after inserting gene symbols will activate a new identification process. GeneAnalytics identifies official human and mouse gene symbols only. Currently, GeneAnalytics is recommended for the analysis of gene sets that contain or fewer genes. Analyzing longer lists may yield biased results, with over-representation of entities that contain higher number of genes. If you insert a gene set with more than genes, you will be asked whether you want to proceed with your long set, or to trim the list to genes.

Voyeur pee

MalaCards can be navigated in a variety of ways. Omitted MalaCards sections include summaries, genetic tests, anatomical context, expression, GO terms, and sources. Makler A, Narayanan R Mining exosomal genes for pancreatic cancer targets. Sci Rep Its popularity encouraged the expansion of the knowledgebase to provide the same functionality for diseases and pathways. Clinical genetics analysis of thousands of variants requires a user interface that will enable browsing, viewing, filtering, and interpretation interactively. The default option is searching for all categories. This is addressed by VarElect Stelzer et al. Online ISBN : MiniCards—evidence for gene-phenotype associations. But a typical gene can have a multitude of variants that have not yet been documented to have a relationship with a disease or a phenotype. Archived from the original PDF on

GeneAnalytics is a powerful and user friendly gene set analysis tool that can rapidly contextualize experimental gene expression, and function, signatures derived from next generation sequencing of DNA and RNA and from microarray analyses. It leverages LifeMap's extensive integrated biomedical knowledgebase including, GeneCards , MalaCards and LifeMap Discovery , which utilize data from more than sources.

Database Oxford bav Tools Tools. Database Oxford baq October Version 3 of the database gathers information from more than 90 database resources based on a consolidated gene list. Nat Methods 7 4 — A major source of pathogenic genomic alterations are structural variants SVs , comprising both balanced modifications inversions and translocations and unbalanced variations—copy number variants CNVs , including deletions, duplications, and insertions Hurles et al. Future Oncol 12 11 — Bioinformatics 19 Suppl 1 :i—i SV analysis with TGex. Diseases with names that are identical except for type specification e. GeneHancer, an innovative and growing regulatory element database, focuses on enhancers and promoters, central to tissue-related gene expression, with many known strong connections to diseases. GeneHancer, the GeneCards Suite database of regulatory elements and their gene targets, has been used by the community as an annotation standard for enhancers and promoters in the human genome, as well as for the associations of those elements with their gene targets Quigley et al.