ArticleBioinformatics (Oxford, England)2010
Semantic integration of data on transcriptional regulation.
Article in Bioinformatics (Oxford, England), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- From bioinformatics to bedside: PPBP drives glioblastoma progression under hypoxia via CXCR2/PI3K/Akt signaling and is targetable by Oenothein B.Cancer cell international · 2026Article
- Diagnostic and prognostic significance of Super-enhancer-associated genes in Crohn's disease and immune regulatory roles.European journal of medical research · 2025Article
- Enabling semantic queries across federated bioinformatics databases.Database : the journal of biological databases and curation · 2019Article
- Semantic integration of gene expression analysis tools and data sources using software connectors.BMC genomics · 2013Article
- Improving integrative searching of systems chemical biology data using semantic annotation.Journal of cheminformatics · 2012Article
- Mining and integration of pathway diagrams from imaging data.Bioinformatics (Oxford, England) · 2012Article
- IntegromeDB: an integrated system and biological search engine.BMC genomics · 2012Article
- Article
- Article
- BiologicalNetworks--tools enabling the integration of multi-scale data for the host-pathogen studies.BMC systems biology · 2011Article
- BiologicalNetworks 2.0--an integrative view of genome biology data.BMC bioinformatics · 2010Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
motivationExperimental and predicted data concerning gene transcriptional regulation are distributed among many heterogeneous sources. However, there are no resources to integrate these data automatically or to provide a 'one-stop shop' experience for users seeking information essential for deciphering and modeling gene regulatory networks.
resultsIntegromeDB, a semantic graph-based 'deep-web' data integration system that automatically captures, integrates and manages publicly available data concerning transcriptional regulation, as well as other relevant biological information, is proposed in this article. The problems associated with data integration are addressed by ontology-driven data mapping, multiple data annotation and heterogeneous data querying, also enabling integration of the user's data. IntegromeDB integrates over 100 experimental and computational data sources relating to genomics, transcriptomics, genetics, and functional and interaction data concerning gene transcriptional regulation in eukaryotes and prokaryotes. AVAILABILITY: IntegromeDB is accessible through the integrated research environment BiologicalNetworks at http://www.BiologicalNetworks.org CONTACT: baitaluk@sdsc.edu SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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.