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相关概念视频

Proteomics01:33

Proteomics

7.1K
A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
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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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Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

19
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
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相关实验视频

Updated: May 16, 2025

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
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Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts

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[数据驱动的多omics分析和生物过程的建模]

Yan Zhu1,2, Zhidan Zhang1,2, Peibin Qin1

  • 1Systems Biology Center, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin 300308, China.

Sheng wu gong cheng xue bao = Chinese journal of biotechnology
|April 2, 2025
PubMed
概括
此摘要是机器生成的。

本综述强调了用于生物过程优化的多omics数据和计算建模. 整合这些方法可以提高生物制造的控制和效率,推动工程细胞和无细胞系统的进步.

关键词:
生物过程生物过程.数据科学数据科学数字细胞模型的数字细胞模型.综合性分析是一种综合性分析.多种主题的多种主题.

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A Multi-Omics Extraction Method for the In-Depth Analysis of Synchronized Cultures of the Green Alga Chlamydomonas reinhardtii
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JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
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Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
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Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts

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A Multi-Omics Extraction Method for the In-Depth Analysis of Synchronized Cultures of the Green Alga Chlamydomonas reinhardtii
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A Multi-Omics Extraction Method for the In-Depth Analysis of Synchronized Cultures of the Green Alga Chlamydomonas reinhardtii

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JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
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科学领域:

  • 生物技术是生物技术.
  • 生物工艺工程 生物工艺工程
  • 系统生物学 系统生物学

背景情况:

  • 生物制造依赖于工程细胞或无细胞系统,以实现高效的材料转化.
  • 复杂的生物过程表现出时空空间异质性,对理解和优化提出了挑战.

研究的目的:

  • 审查生物过程中多omics数据采集和分析的方法.
  • 概述计算机建模方法,整合生物工艺的多omics数据.
  • 探索在精密生物制造中多组学和建模的应用.

主要方法:

  • 综述多主题数据采集和分析技术.
  • 对生物过程的计算建模策略的审查.
  • 探索实际应用和案例研究.

主要成果:

  • 多omics数据为生物过程动态提供了全面的见解.
  • 计算建模可以预测和优化生物过程参数.
  • 整合多组学和建模,便于微调发酵,营养补充和应激反应.

结论:

  • 与计算建模集成的多组学为精密生物处理提供了巨大的潜力.
  • 解决生物过程优化的当前挑战需要先进的分析和建模工具.
  • 加强对复杂生物过程的理解和控制将加速生物制造.