ArticleOmics : a journal of integrative biology2016
GeneAnalytics: An Integrative Gene Set Analysis Tool for Next Generation Sequencing, RNAseq and Microarray Data.
Article in Omics : a journal of integrative biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 154 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
154 citing papers in PubMed.
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- Suppression of astrocyte BMP signaling improves molecular signatures and functional deficits in a fragile X syndrome mouse model.Nature communications · 2026Article
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- Gene variants in the pheromone vomeronasal receptors and QTLs around behavioral and fat metabolism genes associated with altered feed efficiency in cattle.Scientific reports · 2026Article
- Pharmacogenomic Synthetic Lethal Screens Reveal Hidden Vulnerabilities and New Therapeutic Approaches for Treatment of NF1-Associated Tumors.Molecular cancer therapeutics · 2026Article
- Identification and molecular functional analysis of genes associated with addiction using integrated genetic web-based programs and databases.Frontiers in genetics · 2026Article
- Mapping DNA methylation to cardiac pathologies induced by beta-adrenergic stimulation in a large panel of mice.Epigenetics · 2025Article
- The RNA-binding protein PRRC2B preserves 5' TOP mRNA during starvation to maintain ribosome biogenesis during nutrient recovery.Nucleic acids research · 2025Article
- Protective effects and mechanisms of Saikosaponin A against myocardial ischemia based on network pharmacology, molecular docking, and experimental validation.Naunyn-Schmiedeberg's archives of pharmacology · 2025Article
- Revealing the Angiogenic Signature ofCancers · 2025Article
- Germline stem cell isolation, lineage tracing, and aging in a protochordate.bioRxiv : the preprint server for biology · 2025Article
- VarPPUD: Pinpointing diagnostic variants from sets of prioritized, strong candidate variants.PLoS computational biology · 2025Article
- Efficient gene set analysis for DNA methylation addressing probe dependency and bias.Bioinformatics (Oxford, England) · 2025Article
- L-2-hydroxyglutarate regulates centromere and heterochromatin conformation in the male germline.PLoS genetics · 2025Article
- Inhibitors of eIF1A-ribosome interaction unveil uORF-dependent regulation of translation initiation and antitumor and antiviral effects.The EMBO journal · 2025Article
- Rare missense variants inJournal of medical genetics · 2025Article
- Genomic and Transcriptomic Characterization of Protein Kinase C Fusion Melanocytic Neoplasms With Distinctive Hypopigmented Histomorphology: A Single-Institution Study.Journal of cutaneous pathology · 2025Article
94 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors.
Funding
Abstract
Postgenomics data are produced in large volumes by life sciences and clinical applications of novel omics diagnostics and therapeutics for precision medicine. To move from "data-to-knowledge-to-innovation," a crucial missing step in the current era is, however, our limited understanding of biological and clinical contexts associated with data. Prominent among the emerging remedies to this challenge are the gene set enrichment tools. This study reports on GeneAnalytics™ ( geneanalytics.genecards.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 (NGS), RNAseq, and microarray experiments. GeneAnalytics' differentiating features include in-depth evidence-based scoring algorithms, an intuitive user interface and proprietary unified data. GeneAnalytics employs the LifeMap Science's GeneCards suite, including the GeneCards®--the human gene database; the MalaCards-the human diseases database; and the PathCards--the biological pathways database. Expression-based analysis in GeneAnalytics relies on the LifeMap Discovery®--the embryonic development and stem cells database, which includes manually curated expression data for normal and diseased tissues, enabling advanced matching algorithm for gene-tissue association. This assists in evaluating differentiation protocols and discovering biomarkers for tissues and cells. Results are directly linked to gene, disease, or cell "cards" in the GeneCards suite. Future developments aim to enhance the GeneAnalytics algorithm as well as visualizations, employing varied graphical display items. Such attributes make GeneAnalytics a broadly applicable postgenomics data analyses and interpretation tool for translation of data to knowledge-based innovation in various Big Data fields such as precision medicine, ecogenomics, nutrigenomics, pharmacogenomics, vaccinomics, and others yet to emerge on the postgenomics horizon.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.