ArticleNucleic acids research2019
COXPRESdb v7: a gene coexpression database for 11 animal species supported by 23 coexpression platforms for technical evaluation and evolutionary inference.
Article in Nucleic acids research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
87 citing papers in PubMed, 2 syntheses or guidelines pooled it, 166 citations in OpenAlex.
- Pooled it
- Network aggregation improves gene function prediction of grapevine gene co-expression networks.Plant molecular biology · 2020Pooled it
- Time-Resolved Network Entropy Analysis Identifies a CTNND1-VAV3 Subnetwork in Gefitinib-Resistant NSCLC.International journal of molecular sciences · 2026Article
- Experimental assessment of AI-based interactome mapping.Nature communications · 2026Article
- Combining graphlets and random walks for capturing complex network topology.Scientific reports · 2026Article
- A systematic guide for identifying transcription factors that directly regulate the expression of a gene of interest.Genome research · 2026Review
- Rationally Designed Dual Kinase Inhibitors for Management of Obstructive Sleep Apnea-A Computational Study.Biomedicines · 2026Article
- Mapping the Potential Genes and Associated Pathways Involved in Long COVID-Associated Brain Fog Using Integrative Bioinformatics and Systems Biology Strategy.Molecular biotechnology · 2025Article
- Interpreting the Function of the IL-23/IL-17 Axis through Bioinformatics.Endocrine, metabolic & immune disorders drug targets · 2025Review
- Article
- MONFIT: multi-omics factorization-based integration of time-series data sheds light on Parkinson's disease.NAR molecular medicine · 2024Article
- Multi-omics integration of scRNA-seq time series data predicts new intervention points for Parkinson's disease.Scientific reports · 2024Article
- Upregulated expression ofJournal of gastrointestinal oncology · 2024Article
- CoGTEx: Unscaled system-level coexpression estimation from GTEx data forecast novel functional gene partners.PloS one · 2024Article
- CD44 correlates with longevity and enhances basal ATF6 activity and ER stress resistance.Cell reports · 2023Article
- Investigating Neuron Degeneration in Huntington's Disease Using RNA-Seq Based Transcriptome Study.Genes · 2023Article
- Cytosolic and mitochondrial translation elongation are coordinated through the molecular chaperone TRAP1 for the synthesis and import of mitochondrial proteins.Genome research · 2023Article
- A positive statistical benchmark to assess network agreement.Nature communications · 2023Article
- Multi-Omic Analysis of CIC's Functional Networks Reveals Novel Interaction Partners and a Potential Role in Mitotic Fidelity.Cancers · 2023Article
- Faster and more accurate pathogenic combination predictions with VarCoPP2.0.BMC bioinformatics · 2023Article
27 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
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The advent of RNA-sequencing and microarray technologies has led to rapid growth of transcriptome data generated for a wide range of organisms, under various cellular, organ and individual conditions. Since the number of possible combinations of intercellular and extracellular conditions is almost unlimited, cataloging all transcriptome conditions would be an immeasurable challenge. Gene coexpression refers to the similarity of gene expression patterns under various conditions, such as disease states, tissue types, and developmental stages. Since the quality of gene coexpression data depends on the quality and quantity of transcriptome data, timely usage of the growing data is key to promoting individual research in molecular biology. COXPRESdb (http://coxpresdb.jp) is a database providing coexpression information for 11 animal species. One characteristic feature of COXPRESdb is its ability to compare multiple coexpression data derived from different transcriptomics technologies and different species, which strongly reduces false positive relationships in individual gene coexpression data. Here, we summarized the current version of this database, including 23 coexpression platforms with the highest-level quality till date. Using various functionalities in COXPRESdb, the new coexpression data would support a broader area of research from molecular biology to medical sciences.
Indexed as
Identifiers
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.