Expanding bioinformatics: Toward a paradigm shift from data to theory

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.

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Publication Details

Journal
Fundamental Research
Published
2024-12-03
DOI
https://doi.org/10.1016/j.fmre.2024.11.019
Citations
4
Primary Topic
Genetics, Bioinformatics, and Biomedical Research
Type
article
Field-Weighted Citation Impact
0.94

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article

Expanding bioinformatics: Toward a paradigm shift from data to theory

Zhang Zhang
4 citations
Fundamental Research
Genetics, Bioinformatics, and Biomedical Research
0.94
article

Expanding bioinformatics: Toward a paradigm shift from data to theory

Zhang Zhang
article en
4 citations

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.

Fundamental ResearchVol. 6(1)
Chinese Academy of Sciences (CN), Beijing Institute of Genomics (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 24%
Genetics, Bioinformatics, and Biomedical Research
0.94
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