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Genome - Astrophysics Data System

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Last Updated: 03 September 2022

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Ideas, hopes, and fears: what young adults think about genome editing, nature, and society

Our qualitative study examines everyday myths about genome editing among younger generations; they contribute to a complex web of scientifically and intuitively supported positions on genome editing. We claim that current thought patterns and social ways of thinking co-constitute the everyday myths. We reconstruct our human, the planet, science, and technology, value orientations, fears, aspirations, and desires related to genome editing on the basis of group discussions with teenagers and students about genome editing.

Source link: https://ui.adsabs.harvard.edu/abs/2022CSSE...17..745E/abstract


PRIME: Uncovering Circadian Oscillation Patterns and Associations with AD in Untimed Genome-wide Gene Expression across Multiple Brain Regions

Alzheimer's disease patients have a cardinal symptom, disruption of circadian rhythm. Gene expression in the human brain and its inherent links with AD are largely unknown. We present a novel comprehensive strategy, PRIME, to detect and analyze rhythmic oscillation patterns in untimed high-dimensional gene expression data from numerous datasets. We use it to investigate oscillation patterns in untimed genome-wide gene expression from 19 human brain regions of controls and AD patients, the first and the second. It is worth noting that PRIME finds the circadian rhythmic patterns without requiring the sample's timestamps.

Source link: https://ui.adsabs.harvard.edu/abs/2022arXiv220812811W/abstract


Genome-wide nucleotide-resolution model of single-strand break site reveals species evolutionary hierarchy

The most notable DNA damage in the genome arising spontaneously as a result of genotoxins and DNA intermediaries are single-strand breaks. Several SSB detection techniques, such as S1 END-seq and SSiNGLe-ILM, have emerged to map the genomic landscape of SSB with nucleotide resolution, including Nucleotide resolution. Hence, we introduced SSBlazer, the first computational tool, which is an explainable and scalable deep learning framework for genome-wide nucleotide resolution SSB site prediction. By creating an inaccurate database to represent the realistic SSB's distribution, we showed that SSB analysts can accurately forecast SSB sites and efficiently eliminate false positives. SSBlazer captures the pattern of individual CpG in a genomic context as well as the motif of TGCC in the center region as primary features, according to the model interpretation report. The putative SSB genomic landscapes of 216 vertebrates, according to scientists, there is a negative correlation between SSB frequency and evolutionary hierarchy, implying that the genome continues to be intact throughout evolution.

Source link: https://ui.adsabs.harvard.edu/abs/2022arXiv220809813X/abstract

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions