ReviewFundamental research2026
Expanding bioinformatics: Toward a paradigm shift from data to theory.
Review in Fundamental research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- MicroRNA‑microbiome cross‑kingdom networks drive inflammatory bowel disease through dynamic regulatory ecosystems (Review).International journal of molecular medicine · 2026Review
- A scoping study of the whole-cell imaging literature as a foundation for the emerging field of cell anatomy.BMC biology · 2026Article
- Database resources of the National Genomics Data Center, China National Center for Bioinformation in 2026.Nucleic acids research · 2026Article
- AI for biology: Catalyzing interdisciplinary innovation to unravel life's complexity and address biomedical challenges.Fundamental research · 2026Article
- A scoping study of the whole-cell imaging literature: a foundational corpus, potential for mesoscale data synthesis, and implications for standardization of an emerging field.bioRxiv : the preprint server for biology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bioinformatics is an interdisciplinary, fast-developing, and broad-ranging field, coevolving with and empowered by advanced technologies across multiple related disciplines. Given the ever-growing volume of biological data generated at multiple levels and scales, bioinformatics represents a holistic approach to decipher the complexity of biological systems and thus holds significant potential to realize a paradigm shift by transforming data to theory. Here I articulate a vision of expanding bioinformatics from data to theory that paves the way for the paradigm shift in biology, which can consolidate fragmented research findings within a theoretical framework, drive theory-guided AI modelling and experimentation with enhanced explainability and reduced parameter space, drive biological research from a holistic perspective, and further strengthen the identity and coherence of bioinformatics as a discipline.
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.