ReviewNature reviews. Genetics2012
Text-mining solutions for biomedical research: enabling integrative biology.
Review in Nature reviews. Genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 98 papers, 1 of them a synthesis 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
98 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Automated meta-analysis of the event-related potential (ERP) literature.Scientific reports · 2022Pooled it
- Benchmarking commercial large language models for gene-disease-phenotype extraction from full-text human genetics literature.Quantitative biology (Beijing, China) · 2026Article
- Nature meets machine: the AI renaissance in natural product drug discovery.Natural products and bioprospecting · 2026Review
- Utilizing Omic Data to Understand Integrative Physiology.Physiology (Bethesda, Md.) · 2025Review
- Trends and Challenges in Plant Cryopreservation Research: A Meta-Analysis of Cryoprotective Agent Development and Research Focus.Plants (Basel, Switzerland) · 2025Review
- Darling (v2.0): Mining disease-related databases for the detection of biomedical entity associations.Computational and structural biotechnology journal · 2025Article
- Molecular and network-level mechanisms explaining individual differences in autism spectrum disorder.Nature neuroscience · 2023Article
- Integrative Rare Disease Profile Creation via NormMap to Advance Rare Disease Research.Proceedings. IEEE International Conference on Bioinformatics and Biomedicine · 2022Article
- Genome-wide Meta-analysis Reveals New Gene Signatures and Potential Drug Targets of Hypertension.ACS omega · 2022Article
- An exploratory text analysis of the autophagy research field.Autophagy · 2022Article
- Ontologies and Knowledge Graphs in Oncology Research.Cancers · 2022Review
- Darling: A Web Application for Detecting Disease-Related Biomedical Entity Associations with Literature Mining.Biomolecules · 2022Article
- Considerations and challenges for sex-aware drug repurposing.Biology of sex differences · 2022Review
- Natural product drug discovery in the artificial intelligence era.Chemical science · 2022Review
- Gene Identification and Potential Drug Therapy for Drug-Resistant Melanoma with Bioinformatics and Deep Learning Technology.Disease markers · 2022Article
- Article
- OnTheFlyNAR genomics and bioinformatics · 2021Article
- Hypoglycemia, Vascular Disease and Cognitive Dysfunction in Diabetes: Insights from Text Mining-Based Reconstruction and Bioinformatics Analysis of the Gene Networks.International journal of molecular sciences · 2021Article
- Application of Text Mining in Risk Assessment of Chemical Mixtures: A Case Study of Polycyclic Aromatic Hydrocarbons (PAHs).Environmental health perspectives · 2021Article
- ThermoScan: Semi-automatic Identification of Protein Stability Data From PubMed.Frontiers in molecular biosciences · 2021Review
38 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
3 authors.
Funding
Abstract
In response to the unbridled growth of information in literature and biomedical databases, researchers require efficient means of handling and extracting information. As well as providing background information for research, scientific publications can be processed to transform textual information into database content or complex networks and can be integrated with existing knowledge resources to suggest novel hypotheses. Information extraction and text data analysis can be particularly relevant and helpful in genetics and biomedical research, in which up-to-date information about complex processes involving genes, proteins and phenotypes is crucial. Here we explore the latest advancements in automated literature analysis and its contribution to innovative research approaches.
Indexed as
Identifiers
23150036What 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.