ReviewJournal of biological research (Thessalonike, Greece)2015
Data integration in biological research: an overview.
Review in Journal of biological research (Thessalonike, Greece), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 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
36 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Graph databases in systems biology: a systematic review.Briefings in bioinformatics · 2024Pooled it
- trAIt: Species-by-Trait Data Retrieval using Large Language Models.bioRxiv : the preprint server for biology · 2026Article
- Scalable data harmonization for single-cell image-based profiling with CytoTable.Patterns (New York, N.Y.) · 2026Article
- PDMD: A Comprehensive Repository of Plants Reported for Skeletal Muscle-related Ailments.Current drug targets · 2026Article
- Deciphering shared molecular dysregulation across Parkinson's disease variants using a multi-modal network-based data integration and analysis.NPJ Parkinson's disease · 2025Article
- A computational framework for extracting biological insights from SRA cancer data.Scientific reports · 2025Article
- Annotation of biological samples data to standard ontologies with support from large language models.Computational and structural biotechnology journal · 2025Article
- Editorial: Multi-scale systems: ecological approaches to investigate the role of the microbiota in different niches.Frontiers in molecular biosciences · 2025Article
- Data quality challenges of AIGC application in smart agriculture.Frontiers in artificial intelligence · 2025Review
- Computational methods for alignment and integration of spatially resolved transcriptomics data.Computational and structural biotechnology journal · 2024Review
- Determination of key hub genes in Leishmaniasis as potential factors in diagnosis and treatment based on a bioinformatics study.Scientific reports · 2024Article
- Utilizing Molecular Dynamics Simulations, Machine Learning, Cryo-EM, and NMR Spectroscopy to Predict and Validate Protein Dynamics.International journal of molecular sciences · 2024Review
- Best practices for data management and sharing in experimental biomedical research.Physiological reviews · 2024Review
- Knowledge graph-derived feed efficiency analysis via pig gut microbiota.Scientific reports · 2024Article
- A primer on the use of machine learning to distil knowledge from data in biological psychiatry.Molecular psychiatry · 2024Review
- PhyloSophos: a high-throughput scientific name mapping algorithm augmented with explicit consideration of taxonomic science, and its application on natural product (NP) occurrence database processing.BMC bioinformatics · 2023Article
- An informatic workflow for the enhanced annotation of excretory/secretory proteins ofComputational and structural biotechnology journal · 2023Article
- A synthetic synthesis to explore animal evolution and development.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022Review
- Improving bioinformatics software quality through incorporation of software engineering practices.PeerJ. Computer science · 2022Article
- From Reductionism to Reintegration: Solving society's most pressing problems requires building bridges between data types across the life sciences.PLoS biology · 2021Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Data sharing, integration and annotation are essential to ensure the reproducibility of the analysis and interpretation of the experimental findings. Often these activities are perceived as a role that bioinformaticians and computer scientists have to take with no or little input from the experimental biologist. On the contrary, biological researchers, being the producers and often the end users of such data, have a big role in enabling biological data integration. The quality and usefulness of data integration depend on the existence and adoption of standards, shared formats, and mechanisms that are suitable for biological researchers to submit and annotate the data, so it can be easily searchable, conveniently linked and consequently used for further biological analysis and discovery. Here, we provide background on what is data integration from a computational science point of view, how it has been applied to biological research, which key aspects contributed to its success and future directions.
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.