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相关概念视频

What is Gene Expression?01:42

What is Gene Expression?

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Overview
Gene expression is the process in which DNA directs the synthesis of functional products, that is, proteins. Cells can regulate gene expression at various stages. It allows organisms to generate different cell types and enables cells to adapt to internal and external factors.
Genetic Information Flows from DNA to RNA to Protein
A gene is a stretch of DNA that serves as the blueprint for functional RNAs and proteins. Since DNA is made up of nucleotides and proteins consist of amino...
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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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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
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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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Reporter Genes02:11

Reporter Genes

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Reporter genes are a type of protein-coding gene that are often tagged to a gene of interest. Once inside a target cell, reporter genes usually produce visually identifiable characteristics like fluorescence and luminescence when expressed along with the gene of interest. Thus, reporter genes “report” the presence or absence of genes of interest in an organism, determine the gene expression pattern, or track the physical location of a DNA segment or protein in the cell.
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A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data
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从使用深度学习模型的DNA序列预测基因表达.

Lucía Barbadilla-Martínez1,2, Noud Klaassen1,3, Bas van Steensel4,5

  • 1Oncode Institute, Utrecht, The Netherlands.

Nature reviews. Genetics
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此摘要是机器生成的。

深度学习模型通过分析表观基因组和记者分析数据,准确地预测DNA序列的基因活性. 这些计算工具为基因调节和生物技术中的潜在应用提供了洞察力.

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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
  • 分子生物学分子生物学

背景情况:

  • 基因转录由DNA元素控制,如促进剂和增强剂,受转录因子的影响.
  • 从DNA序列中预测基因活动是具有挑战性的,因为复杂的组合逻辑.

研究的目的:

  • 讨论用于建模基因调节的深度学习方法.
  • 审查可用的培训数据集,并比较不同的方法.

主要方法:

  • 将深度学习技术应用于表观基因组映射数据.
  • 使用高吞吐量报告员测定用于训练数据生成.

主要成果:

  • 深度学习模型以高准确度捕捉基因调节语法.
  • 这些模型在预测非编码变体效应和揭示监管机制方面表现有前途.

结论:

  • 深度学习推进了基因调节的计算建模.
  • 这些方法具有预测变异效应,理解基因调节和合成生物学应用的巨大潜力.