Browse our latest Computational and Systems Biology articles

The Brain Extraction Network (BEN) provides a robust, accurate, and generalizable solution not only for extracting brain tissue from multimodal MRI data in rodents, non-human primates, and humans, but also for improving the accuracy of downstream neuroimaging processing tasks.

An increase in transcriptional noise generally assumed to characterize aged cells and tissues is shown to derive instead from technical and biological issues that underlie single-cell RNA sequencing experiments.

Interrogating mouse locus coeruleus via large-scale multipatch whole-cell recordings uncovers its cellular heterogeneity and cell-type-specific wiring logic.

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.