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相关概念视频

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

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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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Cancers Originate from Somatic Mutations in a Single Cell02:21

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Cancer arises from mutations in the critical genes that allow healthy cells to escape cell cycle regulation and acquire the ability to proliferate indefinitely. Though originating from a single mutation event in one of the originator cells, cancer progresses when the mutant cell lines continue to gain more and more mutations, and finally, become malignant. For example, chronic myelogenous leukemia (CML) develops initially as a non-lethal increase in white blood cells, which progressively...
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Tumor Progression02:07

Tumor Progression

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Tumor progression is a phenomenon where the pre-formed tumor acquires successive mutations to become clinically more aggressive and malignant. In the 1950s, Foulds first described the stepwise progression of cancer cells through successive stages.
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Phylogeny

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Phylogeny is concerned with the evolutionary diversification of organisms or groups of organisms. A group of organisms with a name is called a taxon (singular). Taxa (plural) can span different levels of the evolutionary hierarchy. For instance, the group containing all birds is a taxon (comprising the class Aves), and the group of all species of daisies (the genus Bellis) is a taxon. Phylogenies can likewise include just one genus (i.e., depict species relationships) or span an entire kingdom.
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Comparative Lesions Analysis Through a Targeted Sequencing Approach
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坎波比2:通过批量DNA和单细胞RNA测序推断瘤原始基因.

Ann Marie K Weideman1, Rujin Wang1, Joseph G Ibrahim1,2

  • 1Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599 USA.

Statistics in biosciences
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概括
此摘要是机器生成的。

一个新的贝叶斯框架Canopy2使用DNA和单细胞RNA测序来重建瘤细胞的进化. 它准确地描述突变,并识别数据变异的来源,改善癌症治疗见解.

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贝叶斯统计学 贝叶斯统计学癌症基因组学 癌症基因组学马尔科夫链蒙特卡洛采样采样单细胞机是一种单细胞机.瘤发育的推断结论

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科学领域:

  • 在瘤学瘤学.
  • 计算生物学 计算生物学
  • 遗传学 是一个遗传学.

背景情况:

  • 瘤异质性,以多样化的细胞群体为特征,驱动药物耐药性和治疗失败.
  • 通过家族遗传树了解瘤细胞进化对于破译癌症复杂性至关重要.

研究的目的:

  • 介绍Canopy2,一个贝叶斯的框架,用于推断瘤基因组和细分群中的突变概况.
  • 解决单细胞数据分析的挑战,包括数据稀疏性和随机性.

主要方法:

  • Canopy2集成了来自大量DNA和单细胞RNA测序数据的单核酸变体.
  • 它采用马尔科夫连锁蒙特卡洛方法,具有二项式和β-二项式分布.
  • 该框架区分非癌症,随机和单细胞数据中零计数的技术来源.

主要成果:

  • 模拟显示,Canopy2在高准确度重建克隆树方面优于现有方法.
  • 该框架甚至在低测序深度,低单细胞产量和复杂瘤结构的情况下也表现出稳健性.
  • 在乳腺癌和质母细胞瘤数据集上验证了性能.

结论:

  • Canopy2提供了一种强大而准确的瘤基因推断和突变分析方法.
  • 这一框架增强了对瘤进化和异质性的理解,并有可能为向癌症治疗提供信息.
  • Canopy2是一个开源的R包,促进了更广泛的研究应用.