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相关概念视频

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
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Evolutionary Relationships through Genome Comparisons02:54

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Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
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Genomics02:02

Genomics

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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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Genome Annotation and Assembly03:36

Genome Annotation and Assembly

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The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
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DNA Microarrays02:34

DNA Microarrays

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Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
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Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
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使用深度高斯过程对空间基因组学数据的调整.

Andrew Jones1, F William Townes2, Didong Li3

  • 1Department of Computer Science, Princeton University, Princeton, NJ, USA.

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|August 17, 2023
PubMed
概括
此摘要是机器生成的。

本研究介绍了高斯过程空间对齐 (GPSA),这是一种用于精确对齐空间解析的生物数据的新型概率模型. 通过准确地将细胞和组织数据映射到一个共同的坐标系,GPSA使先进的分析成为可能.

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科学领域:

  • 基因组学就是基因组学.
  • 计算生物学 计算生物学
  • 生物信息学是一种生物信息学.

背景情况:

  • 空间解析的基因组技术为细胞和组织组织提供了洞察力.
  • 在不同样本和技术之间精确调整空间观测仍然是一个挑战.

研究的目的:

  • 开发一种概率模型,将空间分辨率的样本与一个共同的坐标系 (CCS) 对齐.
  • 为了实现生物数据的精确下游空间意识分析.

主要方法:

  • 拟议的高斯过程空间对齐 (GPSA),一个双层高斯过程模型.
  • 第一个层将空间位置映射到CCS,第二层将CCS映射到表型读取 (例如,基因表达).

主要成果:

  • 通过GPSA,可以准确对准空间分辨率的样本.
  • 方便复杂的分析,如差异分析,从2D切片创建3D地图,以及跨模式关联测试.

结论:

  • GPSA克服了在调整空间生物数据方面的局限性.
  • 这种方法提高了空间感知分析的准确性和范围,促进了我们对生物系统的理解.