Results 11 to 20 of about 7,742 (179)
BackgroundAs biologists increasingly rely upon computational tools, it is imperative that they be able to appropriately apply these tools and clearly understand the methods the tools employ.
Jeff Shrager +3 more
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Spatially Encoded Protocell Network for Non-Cascaded Parallel Biocomputation. [PDF]
A non‐cascaded, hydrogel‐based proteinosome computational platform is developed, in which redox‐responsive proteinosomes serve as local computing units within a shared reaction–diffusion field. Reductant inputs, countered by an auxiliary glucose gradient, regulate spatially patterned proteinosome disruption, and generate population‐level boundaries ...
Wu S, Tian L.
europepmc +2 more sources
Hydrogel Phase Transition-Driven Soft Gating Circumvents Debye Screening for Advanced Biosensing. [PDF]
A 3D soft gate utilizes a macroscopic hydrogel phase transition to effectively circumvent Debye screening in high‐salt environments. The intact matrix maximizes transmembrane ion flux via volumetric Donnan enrichment and superhydrophilicity. Target‐triggered network disassembly abolishes these effects, introducing a synergistic physical barrier.
Shi L +8 more
europepmc +2 more sources
Practically Error-Free Junctions Enable Solving Large Instances of Exact Cover Problems Using Network-Based Biocomputation. [PDF]
Scaling nanofluidic channel geometries to sub‐200 nm is demonstrated to suppress junction guiding errors in network‐based biocomputing. The resulting increase in path fidelity enables experimental solution of Exact Cover instances with more than 33 million possible solutions, establishing a new benchmark for network‐based biocomputing. ABSTRACT Network‐
V R EC +8 more
europepmc +2 more sources
Abstract Background With the advent of high throughput genomics and high-resolution imaging techniques, there is a growing necessity in biology and medicine for parallel computing, and with the low cost of computing, it is now cost-effective for even small labs or individuals to build their own personal computation ...
Kenneth S. Kompass +2 more
openaire +4 more sources
Biocomputing is an interdisciplinary research area which combines biology, computer science, and engineering. It is the process of building computers that use biological materials. It uses systems of biologically derived molecules, such as proteins and DNA, to perform computational calculations. This paper provides a brief introduction to biocomputing.
Matthew N. O. Sadiku +2 more
openaire +1 more source
eDGAR: a database of Disease-Gene Associations with annotated Relationships among genes
Background Genetic investigations, boosted by modern sequencing techniques, allow dissecting the genetic component of different phenotypic traits. These efforts result in the compilation of lists of genes related to diseases and show that an increasing ...
Giulia Babbi +5 more
doaj +1 more source
Large‐Scale Cardiac Muscle Cell‐Based Coupled Oscillator Network for Vertex Coloring Problem
Modern computers require an exponential increase in resources when solving computationally hard problems, motivating the need for an alternative computing platform to solve such problems in an energy‐efficient manner.
Jiaying Ji +6 more
doaj +1 more source
Self-repairing hardware architecture for safety-critical cyber-physical-systems
Digital embedded systems in safety-critical cyber-physical-systems (CPSs) require high levels of resilience and robustness against different fault classes.
Shawkat S. Khairullah +2 more
doaj +1 more source
Gheorghe Paun (A tribute in honour of his 60th birthday) [PDF]
Gheorghe Păun had a powerful influence on the development of theoretical computer science, especially the area of natural computing. He is the inventor of the new rapidly developing area of biocomputing - computing using membrane systems, or P systems ...
Editorial board of Computer Science Journal of Moldova
doaj

