Your Gene Set, In Context

A powerful, easy to use, gene set analysis tool

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Multi-source integration

Powered by LifeMap's integrated knowledgebase, which utilizes data from more than 100 select sources:

Proprietary expression data

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. 

Powerful and easy to use

Provides the most valuable results without the need for complex bioinformatics expertise or tools. Developed by biologists, for biologists! 

Access to supporting information

Results are directly linked to detailed cards in the LifeMap integrated biomedical knowledgebase and to relevant external data sources. 

Categorized results output

Provides categorized results lists of matched tissues, cells, diseases, pathways, compounds and gene ontology (GO) terms to enhance gene set interpretation. 

Proprietary and unique matching algorithm

The expression-based matching algorithm considers gene annotations including gene -disease association and gene specificity, enrichment or abundance in each specific tissue or cell.

Results Categories

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

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<p>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. </p>
<p>The key strength of GeneAnalytics stems from the extensive manually curated gene expression data available in <a href="http://discovery.lifemapsc.com/" target="_blank">LifeMap Discovery</a>. </p>

GeneAnalytics enables researchers to identify diseases related to their gene sets, and to discover disease mechanisms and specific disease markers.

GeneAnalytics disease-related outputs rely on the information available in MalaCards, the most comprehensive human disease database.

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<p>GeneAnalytics enables researchers to identify diseases related to their gene sets, and to discover disease mechanisms and specific disease markers.</p>
<p>GeneAnalytics disease-related outputs rely on the information available in <a href="http://www.malacards.org/" target="_blank">MalaCards</a>, the most comprehensive human disease database.</p>

GeneAnalytics enables researchers to identify pathways related to their gene sets, to explore pathway mechanisms and to define gene roles within a pathway.  

GeneAnalytics pathway-related outputs rely on  the information available in PathCards, the only resource to integrate data from multiple pathway resources into super-pathways.  

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<p>GeneAnalytics enables researchers to identify pathways related to their gene sets, to explore pathway mechanisms and to define gene roles within a pathway.  </p>
<p>GeneAnalytics pathway-related outputs rely on  the information available in <a href="http://pathcards.genecards.org/" target="_blank">PathCards</a>, the only resource to integrate data from multiple pathway resources into super-pathways.  </p>

GeneAnalytics enables researchers to identify Gene Ontology (GO) terms related to their gene sets, providing information about the molecular functions and biological roles of the genes of interest.

GeneAnalytics exploits the information available in the Gene Ontology (GO) project, and integrated in GeneCards – the human gene database. 

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<p>GeneAnalytics enables researchers to identify Gene Ontology (GO) terms related to their gene sets, providing information about the molecular functions and biological roles of the genes of interest.<ins cite="mailto:Yehudit" datetime="2014-09-05T09:19"></ins></p>
<p>GeneAnalytics exploits the information available in the Gene Ontology (GO) project, and integrated in <a href="http://www.genecards.org/" target="_blank">GeneCards</a> – the human gene database. </p>

GeneAnalytics enables researchers to identify compounds related to their gene sets, and further link to biochemical and pharmacological information about drugs, small molecules and metabolites, their mechanisms of action and their targets.

GeneAnalytics takes advantage of multiple sources of information related to more than 83,000 compounds, including those found in GeneCards, the human gene database.

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<p>GeneAnalytics enables researchers to identify compounds related to their gene sets, and further link to biochemical and pharmacological information about drugs, small molecules and metabolites, their mechanisms of action and their targets.</p>
<p>GeneAnalytics takes advantage of multiple sources of information related to more than 83,000 compounds, including those found in <a href="http://www.genecards.org/" target="_blank">GeneCards</a>, the human gene database.</p>

Applications

  • Interpret next generation sequencing results
  • Identify cell types, diseases, pathways and functions related to your gene set
  • Discover markers for tissues, cells and diseases
  • Identify causative variations and risk factors for diseases
  • Investigate disease mechanisms
  • Explore relationships between compounds and gene networks to enhance drug discovery
  • Characterize tissue samples and cultured cells and assess their purity
  • Analyze outcomes of cell differentiation experiments  

Testimonials

"...I like GeneAnalytics for its convenience and accessibility of further information about specific terms, backed up by the excellent knowledgebase of GeneCards. The interface definitely helps to understand the biology faster and deeper".

Mikhail G. Dozmorov, Ph.D.

Assistant Professor, Department of Biostatistics

Scientific Director, Bioinformatic Section, TRI Core

Virginia Commonwealth University Richmond Academy of Medicine

Richmond, VA USA

“I find GeneAnalytics a powerful tool that is extremely helpful in analyzing next generation sequencing data as it allows the fast and efficient analysis of gene sets by integrating data from a number of important databases ...”

Nikhita Bolar, Ph.D. student

Centre for Medical genetics

UZA/UA

Edegem, Belgium

“GeneAnalytics provides complete information about genes of interest as well as precise analysis of how these genes are connected to different tissues, diseases, function and drugs. The interface is very user friendly...”

Evgeny Arons, Ph.D.

National Institute of Health

National Cancer Institute

Bethesda, MD USA

Case Studies

  • Tissue sample assesment
    Evaluation of stem cell differentiation
  • Cell function analysis
    Disease gene set analysis

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