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相关概念视频

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

5.7K
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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RNA-seq03:21

RNA-seq

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RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
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Next-generation Sequencing03:00

Next-generation Sequencing

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The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....
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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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相关实验视频

Updated: Jun 4, 2025

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues
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WebSEQ:一个民主化Omics数据共享的新工具.

Shane A Liddelow1, Ye Zhang2, Steven A Sloan3

  • 1Neuroscience Institute, NYU Grossman School of Medicine, New York City, New York, USA.

Glia
|December 26, 2024
PubMed
概括

研究人员现在可以轻松共享和探索omics数据,包括转录组,蛋白组和代谢组数据集,使用新的免费在线工具. 这个平台不需要编码,使复杂的分子数据分析可用于推进神经科学研究.

关键词:
分享数据的数据共享.格利亚 (Glia) 是一个.脂质组的类型是什么俄米克斯 (omicsics) 是一个电子产品.蛋白质组学 蛋白质组学在Rnaseqq.

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科学领域:

  • 神经科学是一个神经科学.
  • 生物信息学是一种生物信息学.
  • 数据科学数据科学数据科学

背景情况:

  • 奥米克数据集 (转录组,蛋白组,代谢组) 迅速生成,但难以共享和分析.
  • 当前的公共数据存储库往往缺乏用于数据探索的用户友好的接口.
  • 研究人员在整合和解释各种各样的omics数据时面临着挑战.

研究的目的:

  • 呈现一个免费的,在线的,用户友好的平台,共享分析的OMICS数据.
  • 为科学界提高分子数据的可访问性.
  • 为了促进转录基因,蛋白质基因和代谢基因数据的探索,而不需要编码专业知识.

主要方法:

  • 开发一个免费的,基于Web的工具,用于OMIC数据共享.
  • 该工具接受基本数据电子表格,不需要先前的计算知识.
  • 实现一个可搜索和用户友好的接口用于数据探索.

主要成果:

  • 已经建立了一个功能性的在线平台,用于共享基本的omics数据.
  • 该工具使用户能够探索转录组,蛋白组和代谢组数据集.
  • 使用该平台不需要编码或高级计算技能.

结论:

  • 可访问的omics数据平台对于推进神经科学研究至关重要.
  • 这个工具使分子数据的探索民主化,支持质多样性和功能研究.
  • 简化数据共享和分析将加速分子生物学和神经科学领域的科学发现.