03/12/2026
resaerch article
Biotic interactions, crucial for understanding the ecology and evolution of species, are often conceptualized as ecological networks. However, the complexity of real ecosystems poses challenges for empirical inference, and theoretical interaction models, while informative, frequently fail to undergo empirical validation.
Image credit: Brun-Usan et al
Current Issue January 2026
03/12/2026
research article
With the increasing adoption of omics technologies in biomedical research, integrating multi-modal data from diverse sources has become crucial for understanding complex diseases. The authors present AE-Trans, an interpretable dual-channel Transformer framework that integrates unpaired transcriptomic and epigenomic data to enhance Alzheimer’s disease diagnosis.
Image credit: Liao et al
03/04/2026
research article
SARS-CoV-2 infection rates displayed strikingly organized patterns of temporal and spatial spread as new variants were introduced and subsequently transmitted within the United States. While these spatio-temporal “waves” of infection have been described previously, attempts to quantify the speed and extent of these waves have been limited.
Image credit: Lopes et al
02/20/2026
research article
Resting state fMRI signals in mammals exhibit rich dynamics on a fast, frame-by-frame timescale of seconds, including the robust emergence of recurring fMRI co-activation patterns (CAPs). To understand how such dynamics emerges from...
Image credit: Europeana
01/21/2026
research article
Here the authors present Histo-Miner, a framework designed to systematically analyze these images at multiple levels of detail—from one single cell to entire tissue regions.
Image credit: Sancéré et al
01/22/2026
research article
The authors use AlphaFold2-multimer to generate high-confidence predictions of PPIs in Drosophila melanogaster. They highlight the importance of incorporating often neglected functional associations when predicting protein-protein interactions at a genomic scale.
Image credit: Peng and Zhao
01/12/2026
research article
Despite differences between classification approaches and calls for the development of consensus methods...
Image credit: CDC
12/29/2025
research Article
Cellular imaging is widely used in biological studies, and often enables quantitative analysis of phenotypic variation through the use of machine learning algorithms.
Image credit: Moutakanni et al
12/16/2025
Education
Inspired by the success of freezer challenges to reduce the environmental footprint of frozen sample storage in labs, the authors developed the data cleaning challenge.
Image credit: Kal et al
11/11/2025
research article
As a well-established and extensively utilized model organism, C. elegans serves as a crucial platform for investigating behavioral regulation mechanisms and their biological significance...
Image credit: Wikimedia
This Collection aims to increase the coverage of computational biology-related topics in Wikipedia by rewarding authors with a citable, PubMed-indexed static version of the living document on Wikipedia.
This series of perspective articles from computational biologists in a variety of countries, offers their personal viewpoint on the history, current status, and future of computational biology in their region.
This collection aims to provide practical tutorials and background information on important computational methods used to investigate key biological questions, as well as resources for training scientists at all stages of their careers.
The Benchmarking collection help readers decide between a number of methods which are developed to solve scientific problems.
Knowledge-guided analysis of "omics" data using the KnowEnG cloud platform
Test accuracy of polymerase chain reaction methods against conventional diagnostic techniques for Cutaneous Leishmaniasis (CL) in patients with clinical or epidemiological suspicion of CL: Systematic review and meta-analysis
Murine and related chapparvoviruses are nephro-tropic and produce novel accessory proteins in infected kidneys
Prevalence and genetic profiles of isoniazid resistance in tuberculosis patients: A multicountry analysis of cross-sectional data
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