Multi-omics reveals abundant mitochondrial genomic and circadian expression variation in the Drosophila Genetic Reference Panel

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Still displaying characteristics of their bacterial origin, such as autonomous division, motility, and their own genome, mitochondria remain an elusive component of modern eukaryotes. They produce most of the cell's energy in the form of adenosine triphosp ...

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Cis-genetic effects are key determinants of transcriptional divergence in discrete tissues and cell types. However, how cis- and trans-effects act across continuous trajectories of cellular differentiation in vivo is poorly understood. Here, we quantify al ...

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Background and Objective: Computational models of the cardiovascular system allow for a detailed and quantitative investigation of both physiological and pathological conditions, thanks to their ability to combine clinical-possibly patient-specific-data wi ...

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We introduce and derive the Fourier -enhanced 3D electrostatic field solver of the gyrokinetic full -f PIC code PICLS. The solver makes use of a Fourier representation in one periodic direction of the domain to make the solving of the system easily paralle ...

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Geometric properties of lattice quantum gravity in two dimensions are studied numerically via Monte Carlo on Euclidean Dynamical Triangulations. A new computational method is proposed to simulate gravity coupled with fermions, which allows the study of int ...

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Time-domain solutions of Maxwell’s equations in homogeneous and isotropic media are paramount to studying transient or broadband phenomena. However, analytical solutions are generally unavailable for practical applications, while numerical solutions are co ...

Randomized measurement protocols such as classical shadows represent powerful resources for quantum technologies, with applications ranging from quantum state characterization and process tomography to machine learning and error mitigation. Recently, the n ...

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The desire and ability to place AI-enabled applications on the edge has grown significantly in recent years. However, the compute-, area-, and power-constrained nature of edge devices are stressed by the needs of the AI-enabled applications, due to a gener ...

Multi-omics reveals abundant mitochondrial genomic and circadian expression variation in the Drosophila Genetic Reference Panel

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Unraveling mitochondrial dynamics: exploring asymmetries and function through advanced microscopy

Drug Screening in C. elegans to identify new pharmacological mitochondrial stress inducers

Multimodal transcriptomic atlases of mouse spinal cord injury

Reconstruction and analysis of genome-scale metabolic networks in single organisms and microbial communities

Osmosis-driven stiffening of structured hydrogels

Live-cell imaging powered by computation

The dynamic genetic determinants of increased transcriptional divergence in spermatids

Monitoring an Emergent Pathogen at Low Incidence in Wastewater Using qPCR: Mpox in Switzerland

Decoding Chromatin Ubiquitylation: A Chemical Biology Perspective

The role of computational methods in cardiovascular medicine: a narrative review

Multi-well plate lid for single-step pooling of 96 samples for high-throughput barcode-based sequencing

Verification of the Fourier-enhanced 3D finite element Poisson solver of the gyrokinetic full-f code PICLS

Orchestrating chromosome conformation capture analysis with Bioconductor

Graph generative deep learning models with an application to circuit topologies

Hausdorff dimension of fermions on a random lattice

Optimality principles for the analysis of biological processes across scales: From enzyme kinetics to microbiome dynamics

The time-domain Cartesian multipole expansion of electromagnetic fields

Dual-frame optimization for informationally complete quantum measurements

Meeting our Makers: Uncovering the cis-regulatory activity of transposable elements using statistical learning

Exploring High-Performance and Energy-Efficient Architectures for Edge AI-Enabled Applications