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相关概念视频

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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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Fates of Pyruvate01:20

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Pyruvate is the end product of glycolysis, where glucose is oxidized to pyruvate, simultaneously reducing NAD+ to NADH. Two molecules of ATP are also produced by substrate-level phosphorylation.
In aerobic organisms, pyruvate is metabolized via the citric acid cycle to produce reduced coenzymes NADH and FADH2. These coenzymes are then oxidized in the electron transport chain to produce ATP and, in the process, regenerate the NAD+ and FAD. As seen in some cell types and organisms, fermentation...
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Econometric Views, often stylized as EViews, is a package that merges statistical analysis with econometric studies. It is designed to provide tools for time series analysis, forecasting, and econometric model simulation. The software originated from MicroTSP software and has evolved significantly since its inception in 1981. The history of EViews is marked by a continuous effort to enhance its computational speed and user interface. It was initially developed for large computing systems but...
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Cranial Bones: Lateral View01:27

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The lateral view of the cranium is dominated by temporal, sphenoid, and ethmoid bones.
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Some individuals interpret life events as a consequence of their personal choices and actions, while others believe that outcomes are dictated by fate or destiny. This divergence in perspective has been examined in psychological and cross-cultural studies, particularly in relation to religious faith and cultural beliefs about causality.Fate and Personal ResponsibilityPeople who emphasize personal responsibility view events as direct consequences of their decisions. For instance, breaking a leg...
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相关实验视频

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Single Cell Fate Mapping in Zebrafish
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单细胞基因组学 CellRank:对单细胞基因组学的一致性和数据视图不可知命运映射.

Philipp Weiler1,2,3,4, Fabian J Theis5,6,7

  • 1Institute of Computational Biology, Helmholtz Center, Munich, Germany.

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概括

CellRank 2通过整合多种数据类型来加强单细胞RNA测序分析,以进行强大的细胞命运映射. 这种计算工具使细胞分化动态的可扩展和一致的量化.

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相关实验视频

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科学领域:

  • 计算生物学 计算生物学
  • 基因组学就是基因组学.
  • 分子生物学分子生物学

背景情况:

  • 单细胞RNA测序 (scRNA-seq) 为细胞分化提供了高分辨率的洞察力.
  • 由于scRNA-seq实验的破坏性,细胞轨迹的计算重建至关重要.
  • 现有的方法,如最初的CellRank代,从RNA速度和转录组相似性推断出轨迹.

研究的目的:

  • 将CellRank轨迹推断框架用于多视图单细胞数据的概括.
  • 开发一个可扩展的框架,用于全面的细胞命运映射.
  • 为了使细胞命运和血统原始化的一致量化和分析.

主要方法:

  • 开发CellRank 2,一个通用的计算框架用于轨迹推断.
  • 将补充数据视图 (例如,实验时间点,伪时间,干性潜力) 整合到分析中.
  • 构建细胞-细胞过渡矩阵以诱导马尔科夫链以推断终端状态和谱系形成.

主要成果:

  • CellRank 2成功地将轨迹推断概括为多视图单细胞数据.
  • 该框架使细胞命运的可扩展和一致量化成为可能.
  • 证明了结合互补数据视图以进行更全面的血统分析的能力.

结论:

  • CellRank 2提供了一种强大而通用的工具,用于使用scRNA-seq数据进行细胞命运映射.
  • 该框架有助于更深入地了解生物差异化和疾病进展.
  • 提供了跨多种数据视图进行可扩展的CellRank分析的协议,需要掌握Python.