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Metagenomics has lowered the barrier to microbial discovery--enabling the identification of novel microbes without isolation--but cultures remain imperative for the deep study of microbes. Cultivation and isolation of non-model microbes…

Molecular Networks · Quantitative Biology 2026-02-26 Olivia Bulka , Chabname Ghassemi Nedjad , Loïc Paulevé , Sylvain Prigent , Clémence Frioux

The significant role of epigenetic mechanisms within natural systems has become increasingly clear. This paper uses a recently presented abstract, tunable Boolean genetic regulatory network model to explore aspects of epigenetics. It is…

Neural and Evolutionary Computing · Computer Science 2013-06-21 Larry Bull

Biology has changed radically in the last two decades, transitioning from a descriptive science into a design science. Synthetic biology allows us to bioengineer cells to synthesize novel valuable molecules such as renewable biofuels or…

Quantitative Methods · Quantitative Biology 2021-01-27 Tijana Radivojević , Zak Costello , Kenneth Workman , Hector Garcia Martin

Motivation: Gene blocks are genes co-located on the chromosome. In many cases, genes blocks are conserved between bacterial species, sometimes as operons, when genes are co-transcribed. The conservation is rarely absolute: gene loss, gain,…

Genomics · Quantitative Biology 2015-02-26 David C Ream , Asma R Bankapur , Iddo Friedberg

State-of-the-art Deep Neural Networks (DNNs) often incorporate multi-branch connections, enabling multi-scale feature extraction and enhancing the capture of diverse features. This design improves network capacity and generalisation to…

Neural and Evolutionary Computing · Computer Science 2025-06-26 Fergal Stapleton , Daniel García Núñez , Yanan Sun , Edgar Galván

Natural evolution has produced a tremendous diversity of functional organisms. Many believe an essential component of this process was the evolution of evolvability, whereby evolution speeds up its ability to innovate by generating a more…

Neural and Evolutionary Computing · Computer Science 2019-02-15 Joost Huizinga , Kenneth O. Stanley , Jeff Clune

Continuous-time birth-death-shift (BDS) processes are frequently used in stochastic modeling, with many applications in ecology and epidemiology. In particular, such processes can model evolutionary dynamics of transposable elements -…

Methodology · Statistics 2014-12-02 Jason Xu , Peter Guttorp , Midori Kato-Maeda , Vladimir N. Minin

Hundreds of Evolutionary Computation approaches have been reported. From an evolutionary perspective they focus on two fundamental mechanisms: cultural inheritance in Swarm Intelligence and genetic inheritance in Evolutionary Algorithms.…

Neural and Evolutionary Computing · Computer Science 2022-11-28 Sizhe Yuen , Thomas H. G. Ezard , Adam J. Sobey

It has been reported that the number of transcription factors encoded in prokaryotic genomes scales approximately quadratically with their total number of genes. We propose a conceptual explanation of this finding and illustrate it using a…

Molecular Networks · Quantitative Biology 2010-09-24 Sergei Maslov , Sandeep Krishna , Tin Yau Pang , Kim Sneppen

Designing biological sequences that satisfy multiple, often conflicting, functional and biophysical criteria remains a central challenge in biomolecule engineering. While discrete flow matching models have recently shown promise for…

Machine Learning · Computer Science 2025-05-15 Tong Chen , Yinuo Zhang , Sophia Tang , Pranam Chatterjee

As the next step in extraterrestrial exploration, many engineers and scientists around the country revealed their intense interest to enable multiplanetary human life, including colonizing Mars. This study proposes that architecture on Mars…

Other Quantitative Biology · Quantitative Biology 2025-02-05 Nisha Rokaya , Erin C. Carr , Richard A. Wilson , Congrui Jin

Metabolic cybergenetics is a promising concept that interfaces gene expression and cellular metabolism with computers for real-time dynamic metabolic control. The focus is on control at the transcriptional level, serving as a means to…

Systems and Control · Electrical Eng. & Systems 2024-04-15 Sebastián Espinel-Ríos , José L. Avalos

Background: The evolution of microRNA regulation in metazoans is a mysterious process: MicroRNA sequences are highly conserved among distal organisms, but on the other hand, there is no evident conservation of their targets. Results: We…

Molecular Networks · Quantitative Biology 2008-02-27 Yonatan Bilu

Life science is entering a new era of petabyte-level sequencing data. Converting such big data to biological insights represents a huge challenge for computational analysis. To this end, we developed DeepMetabolism, a biology-guided deep…

Genomics · Quantitative Biology 2017-05-10 Weihua Guo , You Xu , Xueyang Feng

Advances in molecular technologies underlie an enormous growth in the size of data sets pertaining to biology and biomedicine. These advances parallel those in the deep learning subfield of machine learning. Components in the differentiable…

Quantitative Methods · Quantitative Biology 2024-06-14 Alex Jihun Lee , Reza Abbasi-Asl

The electronic structure of a material fundamentally determines its underlying physical, and by extension, its functional properties. Consequently, the ability to identify or generate materials with desired electronic properties would…

Materials Science · Physics 2025-04-09 Shuyi Jia , Panchapakesan Ganesh , Victor Fung

Understanding the rules underlying organismal development is a major unsolved problem in biology. Each cell in a developing organism responds to signals in its local environment by dividing, excreting, consuming, or reorganizing, yet how…

Cell Behavior · Quantitative Biology 2025-08-20 Ramya Deshpande , Francesco Mottes , Ariana-Dalia Vlad , Michael P. Brenner , Alma dal Co

The transport of bio-particles in viscous flows exhibits a rich variety of dynamical behaviour, such as morphological transitions, complex orientation dynamics or deformations. Characterising such complex behaviour under well controlled…

The discovery of equations with knowledge of the process origin is a tempting prospect. However, most equation discovery tools rely on gradient methods, which offer limited control over parameters. An alternative approach is the…

Neural and Evolutionary Computing · Computer Science 2023-08-10 Elizaveta Ivanchik , Alexander Hvatov

Site-directed mutagenesis refers to a man-made molecular biology method that is used to make genetic alterations in the DNA sequence of a gene of interest. But based on our recently published experimental findings, we propose that natural…

Subcellular Processes · Quantitative Biology 2016-04-19 Gao-De Li
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