Computational biology and bioinformatics articles from across Nature Portfolio

Computational biology and bioinformatics is an interdisciplinary field that develops and applies computational methods to analyse large collections of biological data, such as genetic sequences, cell populations or protein samples, to make new predictions or discover new biology. The computational methods used include analytical methods, mathematical modelling and simulation.

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Identifying genes and proteins with causal effects on type 2 diabetes risk across tissues and populations

Using tissue- and ancestry-aware causal inference analyses, we identified 923 genes and 46 proteins whose expression levels causally influence type 2 diabetes risk. Tissue-related heterogeneity was high, whereas ancestry-related heterogeneity was low, although some effects were observed only in non-European populations. These results underscore the need to investigate disease-relevant tissues and diverse populations.

News & Views28 Jan 2026 Nature Metabolism
P: 1-2
Expert-level test is a head-scratcher for AI

Conventional benchmarks are becoming less effective at assessing AI performance, but a multi-disciplinary test has set AI systems a fresh challenge.
- Katherine M. Collins
- Joshua B. Tenenbaum
News & Views28 Jan 2026 Nature
Volume: 649, P: 1115-1116
When cryo-EM modeling meets structure prediction

Accurately interpreting density maps into atomic models is a central yet challenging goal of cryo-EM. Two studies now reveal distinct ways in which protein structure prediction can be incorporated into cryo-EM model building to enable more accurate and robust automated construction of protein atomic models from density maps.
- Xiaogen Zhou
- Xiangyu Xu
- Guijun Zhang
News & Views23 Jan 2026 Nature Structural & Molecular Biology
P: 1-3

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Latest Research and Reviews

Improving atlas-scale single-cell annotation models with hierarchical cross-entropy loss

A hierarchical cross-entropy loss is presented, which incorporates ontology structure into training and improves the out-of-distribution performance of large-scale single-cell annotation models without additional computational cost.
- Sebastiano Cultrera di Montesano
- Davide D’Ascenzo
- Lorin Crawford
ResearchOpen Access30 Jan 2026 Nature Computational Science
P: 1-7
Secure IoMT smartwatch-based blood glucose monitoring using multimodal activity and nutrition data with transfer learning
- Mazin Abed Mohammed
- Mohd Khanapi Abd Ghani
- Radek Martinek
ResearchOpen Access30 Jan 2026 Scientific Reports
P:
Dynamic community detection using class preserving time series generation with Fourier Markov diffusion
- Yanfei Ma
- Daozheng Qu
- Yibo Wang
ResearchOpen Access30 Jan 2026 Scientific Reports
P:
Early prediction of colonization by carbapenemase-producing enterobacterales at ICU admission using machine learning
- Ji Hun Kim
- Eunmi Yang
- Hyeonji Seo
ResearchOpen Access30 Jan 2026 Scientific Reports
P:
Balancing noise reduction and neural signature preservation in EEG biometrics
- Muhammad Usman
- Nadia Sultan
- Faryal Nosheen
ResearchOpen Access30 Jan 2026 Scientific Reports
P:
Fungal photobiont and microbiome genome composition in the Cladonia uncialis tripartite symbiosis
- Zhuang Dong
- Meng Shan Sun
- Jian Guo Zeng
ResearchOpen Access30 Jan 2026 Scientific Data
P:

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News and Comment

This robot hand detaches and walks by itself

Six-fingered appendage can detach, crawl and manipulate objects
- Dan Fox
News30 Jan 2026 Nature
ArXiv says submissions must be in English: are AI translators up for the job?

The preprint repository’s requirement could boost the use of large language models to translate scientific texts.
- Nicola Jones
News29 Jan 2026 Nature
Leveraging AI to reduce operational healthcare costs: lessons from other industries

Despite the potential of AI to improve healthcare delivery, healthcare has lagged behind other sectors in its adoption of operational AI technologies. To address this gap, we outline examples of successful AI applications from other sectors, draw parallels to healthcare, and provide a roadmap for health system leaders to implement similar technologies. Effective integration will require tying AI initiatives to value and redesigning our health systems for AI-enabled workflows.
- Andrew Wong
- Brahmajee K. Nallamothu
- Karandeep Singh
Comments & OpinionOpen Access28 Jan 2026 npj Health Systems
Volume: 3, P: 9
Technologies to give a clearer view of the lungs

From better screening to artificial-intelligence enhancements, pulmonologists are seeking better ways to spot fibrosis and other pulmonary maladies.
- Neil Savage
Comments & Opinion28 Jan 2026 Nature
Volume: 649, P: S16-S18
Identifying genes and proteins with causal effects on type 2 diabetes risk across tissues and populations

Using tissue- and ancestry-aware causal inference analyses, we identified 923 genes and 46 proteins whose expression levels causally influence type 2 diabetes risk. Tissue-related heterogeneity was high, whereas ancestry-related heterogeneity was low, although some effects were observed only in non-European populations. These results underscore the need to investigate disease-relevant tissues and diverse populations.

News & Views28 Jan 2026 Nature Metabolism
P: 1-2
Expert-level test is a head-scratcher for AI

Conventional benchmarks are becoming less effective at assessing AI performance, but a multi-disciplinary test has set AI systems a fresh challenge.
- Katherine M. Collins
- Joshua B. Tenenbaum
News & Views28 Jan 2026 Nature
Volume: 649, P: 1115-1116

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Computational biology and bioinformatics articles from across Nature Portfolio

Featured

Identifying genes and proteins with causal effects on type 2 diabetes risk across tissues and populations

Expert-level test is a head-scratcher for AI

When cryo-EM modeling meets structure prediction

Related Subjects

Latest Research and Reviews

Improving atlas-scale single-cell annotation models with hierarchical cross-entropy loss

Secure IoMT smartwatch-based blood glucose monitoring using multimodal activity and nutrition data with transfer learning

Dynamic community detection using class preserving time series generation with Fourier Markov diffusion

Early prediction of colonization by carbapenemase-producing enterobacterales at ICU admission using machine learning

Balancing noise reduction and neural signature preservation in EEG biometrics

Fungal photobiont and microbiome genome composition in the Cladonia uncialis tripartite symbiosis

News and Comment

This robot hand detaches and walks by itself

ArXiv says submissions must be in English: are AI translators up for the job?

Leveraging AI to reduce operational healthcare costs: lessons from other industries

Technologies to give a clearer view of the lungs

Identifying genes and proteins with causal effects on type 2 diabetes risk across tissues and populations

Expert-level test is a head-scratcher for AI

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