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Asher Kohn

Publications -  5
Citations -  3229

Asher Kohn is an academic researcher. The author has contributed to research in topics: GeneCards & Enhancer. The author has an hindex of 5, co-authored 5 publications receiving 1802 citations.

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

TL;DR: 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 and provides a stronger foundation for the GeneCards suite of companion databases and analysis tools.
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GeneHancer: genome-wide integration of enhancers and target genes in GeneCards

TL;DR: GeneHancer is presented, a novel database of human enhancers and their inferred target genes, in the framework of GeneCards, which assists in the mapping of non-coding variants to enhancers, and via the linked genes, forms a basis for variant–phenotype interpretation of whole-genome sequences in health and disease.
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GeneAnalytics: An Integrative Gene Set Analysis Tool for Next Generation Sequencing, RNAseq and Microarray Data

TL;DR: This study reports on GeneAnalytics™ (geneanalytics.org), a comprehensive and easy-to-apply gene set analysis tool for rapid contextualization of expression patterns and functional signatures embedded in the postgenomics Big Data domains, such as Next Generation Sequencing, RNAseq, and microarray experiments.
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VarElect: the phenotype-based variation prioritizer of the GeneCards Suite.

TL;DR: VarElect is described, a comprehensive phenotype-dependent variant/gene prioritizer based on the widely-used GeneCards, which helps rapidly identify causal mutations with extensive evidence, and is indispensable for emerging clinical projects that involve thousands of whole exome/genome NGS analyses.
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Genic insights from integrated human proteomics in GeneCards

TL;DR: The application of recent advances in proteomics to enhance gene annotation and classification in GeneCards is reported and a new metric for finding functional partners complements eight others, including sharing of pathways, gene ontology (GO) terms and domains, implemented in theGeneCards Suite.