Results 91 to 100 of about 69,200 (270)
A linear-time algorithm for reconstructing zero-recombinant haplotype configuration on a pedigree
Background When studying genetic diseases in which genetic variations are passed on to offspring, the ability to distinguish between paternal and maternal alleles is essential. Determining haplotypes from genotype data is called haplotype inference. Most
Lai En-Yu+3 more
doaj +1 more source
Phylogenetic identification of lateral genetic transfer events
Background Lateral genetic transfer can lead to disagreements among phylogenetic trees comprising sequences from the same set of taxa. Where topological discordance is thought to have arisen through genetic transfer events, tree comparisons can be used ...
Hamilton Nicholas, Beiko Robert G
doaj +1 more source
FemXpress is a computational tool that leverages X‐linked single nucleotide polymorphisms (SNPs) to group cells by the origin of the inactivated X chromosome in female single‐cell RNA sequencing (scRNA‐Seq) data. It demonstrates strong performance on both simulated and real datasets without requiring parental genomic information, and can also identify ...
Xin Wang+15 more
wiley +1 more source
On the evolutionary optimisation of many conflicting objectives [PDF]
This inquiry explores the effectiveness of a class of modern evolutionary algorithms, represented by Non-dominated Sorting Genetic Algorithm (NSGA) components, for solving optimisation tasks with many conflicting objectives.
Fleming, P.J., Purshouse, R.C.
core
HiCGen introduces a hierarchical deep learning framework to predict genome organization across spatial scales using DNA sequences and genomic features. The model enables cross‐cell‐type predictions and in silico perturbation analysis, revealing correlations between loop domains and higher‐order structures.
Jiachen Wei, Yue Xue, Yi Qin Gao
wiley +1 more source
Guided-Mutation Genetic Algorithm for Mobile IoT Network Relay
The Internet of Things (IoT) is a communication scheme which allows various objects to exchange several types of information, enabling functions such as home automation, production management, healthcare, etc.
Gyupil Kam, Kiseop Chung
doaj +1 more source
Biohybrid Computing with Proteinoids and Algae
We developed a novel biohybrid computing system by combining proteinoid microspheres with algae. The biological mixture creates spontaneous electrical oscillations. These oscillations can perform simple logic operations, such as AND, OR, NAND, and NOR gates. Environmental factors like temperature and pH affect how the system works.
Panagiotis Mougkogiannis+1 more
wiley +1 more source
Background Joubert syndrome and related disorders (JSRD) is a clinically and genetically heterogeneous condition with autosomal recessive or X-linked inheritance, which share a distinctive neuroradiological hallmark, the so-called molar tooth sign.
Shingo Koyama+5 more
doaj +1 more source
Why do some people fear or distrust AI agents more than others? This twin study shows that negative attitudes toward AI may partly stem from genetic factors, linking them to traits like victim sensitivity and moral beliefs. These findings show that it is not only nurture but also nature that shapes our views of AI, with implications for future human–AI
Xiaojiayu Tan+7 more
wiley +1 more source
Locations and patterns of meiotic recombination in two-generation pedigrees
Background Meiotic crossovers are the major mechanism by which haplotypes are shuffled to generate genetic diversity. Previously available methods for the genome-wide, high-resolution identification of meiotic crossover sites are limited by the laborious
Roberson Elisha DO+3 more
doaj +1 more source