ArticleNucleic acids research2018
Coloc-stats: a unified web interface to perform colocalization analysis of genomic features.
Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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
18 citing papers in PubMed.
- Atlas of glomerular disease-specific genetic effects on blood transcriptome.medRxiv : the preprint server for health sciences · 2026Article
- Identification of key biomarkers for myocardial infarction by multi-omics analysis and machine learning.Frontiers in immunology · 2026Article
- Identifying Key Plasma Proteins in the Onset of Parkinson's Disease: Proteome-Wide Mendelian Randomization and Single-Cell RNA Sequencing Analysis.Molecular neurobiology · 2025Article
- A scoping review of statistical methods to investigate colocalization between genetic associations and microRNA expression in osteoarthritis.Osteoarthritis and cartilage open · 2024Article
- Intestinal flora and inflammatory bowel disease: Causal relationships and predictive models.Heliyon · 2024Article
- Methods for constructing and evaluating consensus genomic interval sets.Nucleic acids research · 2024Article
- Article
- Evidence for the role of transcription factors in the co-transcriptional regulation of intron retention.Genome biology · 2023Article
- RgnTX: Colocalization analysis of transcriptome elements in the presence of isoform heterogeneity and ambiguity.Computational and structural biotechnology journal · 2023Article
- Genome-Wide Study of Colocalization between Genomic Stretches: A Method and Applications to the Regulation of Gene Expression.Biology · 2022Article
- Cogito: automated and generic comparison of annotated genomic intervals.BMC bioinformatics · 2022Article
- Article
- Bedshift: perturbation of genomic interval sets.Genome biology · 2021Article
- Functional genomics, genetic risk profiling and cell phenotypes in neurodegenerative disease.Neurobiology of disease · 2020Review
- Analytical Approaches for ATAC-seq Data Analysis.Current protocols in human genetics · 2020Article
- epiCOLOC: Integrating Large-Scale and Context-Dependent Epigenomics Features for Comprehensive Colocalization Analysis.Frontiers in genetics · 2020Article
- BedSect: An Integrated Web Server Application to Perform Intersection, Visualization, and Functional Annotation of Genomic Regions From Multiple Datasets.Frontiers in genetics · 2020Article
- Mind the gaps: overlooking inaccessible regions confounds statistical testing in genome analysis.BMC bioinformatics · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors.
Funding
Abstract
Functional genomics assays produce sets of genomic regions as one of their main outputs. To biologically interpret such region-sets, researchers often use colocalization analysis, where the statistical significance of colocalization (overlap, spatial proximity) between two or more region-sets is tested. Existing colocalization analysis tools vary in the statistical methodology and analysis approaches, thus potentially providing different conclusions for the same research question. As the findings of colocalization analysis are often the basis for follow-up experiments, it is helpful to use several tools in parallel and to compare the results. We developed the Coloc-stats web service to facilitate such analyses. Coloc-stats provides a unified interface to perform colocalization analysis across various analytical methods and method-specific options (e.g. colocalization measures, resolution, null models). Coloc-stats helps the user to find a method that supports their experimental requirements and allows for a straightforward comparison across methods. Coloc-stats is implemented as a web server with a graphical user interface that assists users with configuring their colocalization analyses. Coloc-stats is freely available at https://hyperbrowser.uio.no/coloc-stats/.
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.