Browse our latest Computational and Systems Biology articles

Unsupervised machine learning on the ultrastructure and shape of cells in volume electron microscopy yields a compact representation of cellular morphology that complements genetics-based cell type characterisation.

A new method allows researchers to automatically assign cells into different cell types and tissues, a step which is critical for understanding complex organisms.

Mutations conferring resistance to Escherichia coli against the chemotherapy drug gemcitabine can have opposite effects on bacterial drug degradation and therefore can increase or decrease the chemotherapy load on neighboring cancer cells.

DeCalciOn is a low-cost open-source hardware system for real-time in vivo calcium imaging that offers capabilities for online decoding of neural population activity and delivery of short latency closed-loop feedback in freely behaving animals.

Single-cell transcriptomics reveals altered pathways, gene expression dynamics, and activation of transcriptional programs in human early hematopoiesis during healthy aging and myelodysplastic syndromes.

A hallmark property of non-functional clonotypes was used to develop a universal and fully computational method for detection and correction of multiplex PCR-specific quantitative bias in adaptive immune receptor repertoire.

The AlphaFold protein structure prediction network can be specialized for T cell receptor docking, leading to improved models of ternary complexes and some ability to discriminate correct from incorrect peptide epitopes.

The recent developments in large-scale machine learning, especially with the recent Transformer models, display much potential for solving computational problems within protein biology and outcompete traditional computational methods in many recent studies and benchmarks.

A flexible transcription initiation architecture and a uniform regulatory grammar buffer expression variability and the effects of genetic variants on essential genes while a rigid transcription initiation architecture and a diverse regulatory grammar ensure condition-specific responsiveness of other genes.

The maintenance of skeletal muscle function improves the quality of life, and therefore understanding how changes in the genome drive changes in the skeletal muscle proteome has revealed novel regulators of muscle physiology.