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相关概念视频

Ribosome Profiling02:24

Ribosome Profiling

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Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...
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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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RNA Polymerase II Accessory Proteins02:36

RNA Polymerase II Accessory Proteins

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Sanger Sequencing01:57

Sanger Sequencing

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DNA sequencing is a fundamental technique that is routinely used in the biological sciences. This method can be applied to a range of questions at different scales - from the sequencing of a cloned DNA fragment or the study of a mutation in a gene up to whole-genome sequencing. However, despite the widespread use of sequencing today, it was not until 1977 that Fredrick Sanger and his collaborators developed the chain-termination method to decode DNA sequences. It relies on the separation of a...
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Improving Translational Accuracy02:07

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Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
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相关实验视频

Updated: Jan 17, 2026

Rup (RNA-seq Usability Assessment Pipeline) - Quality Control for Bulk RNA-seq Experiments in Eukaryotes
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Rup (RNA-seq Usability Assessment Pipeline) - Quality Control for Bulk RNA-seq Experiments in Eukaryotes

Published on: November 7, 2025

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强大的软件开发实践改善了RNA-seq工具的引用.

Sanskruti Sharma, Ecem Ilgun, Tuna Okcu

    bioRxiv : the preprint server for biology
    |September 18, 2025
    PubMed
    概括
    此摘要是机器生成的。

    严格的软件开发实践对于RNA测序 (RNA-seq) 工具至关重要. 研究表明,开发完善的RNA-seq软件在科学研究中得到了更广泛的采用和引用.

    更多相关视频

    Polysome Purification from Soybean Symbiotic Nodules
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    Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations
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    相关实验视频

    Last Updated: Jan 17, 2026

    Rup (RNA-seq Usability Assessment Pipeline) - Quality Control for Bulk RNA-seq Experiments in Eukaryotes
    05:07

    Rup (RNA-seq Usability Assessment Pipeline) - Quality Control for Bulk RNA-seq Experiments in Eukaryotes

    Published on: November 7, 2025

    351
    Polysome Purification from Soybean Symbiotic Nodules
    07:02

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    Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations
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    科学领域:

    • 生物信息学是一种生物信息学.
    • 计算生物学 计算生物学
    • 基因组学就是基因组学.

    背景情况:

    • RNA测序 (RNA-seq) 对于生物学和医学中的转录组分析至关重要.
    • 越来越多的RNA-seq工具需要强大的开发和分销实践.
    • 确保软件的可靠性,透明度和可重复性对于科学信任至关重要.

    研究的目的:

    • 评估RNA-seq工具的开发,维护和分发.
    • 确定影响RNA-seq软件的采用和可靠性的因素.
    • 建立软件开发实践与工具采用之间的联系.

    主要方法:

    • 2008年至2024年间开发的434个RNA-seq工具的综合评估.
    • 基于分析类型的工具分类.
    • 开发方法,分发和采用属性的评估 (例如,包管理器,集装箱,文档).

    主要成果:

    • 在严格的软件开发实践和RNA-seq工具的采用之间发现了显著的积极关联,通过引用来衡量 (p < 2.2e-16).
    • 有助于广泛采用的关键特征包括包管理器的可用性,容器化,多线程,文档质量和示例数据集.
    • 该研究提供了第一个证据证据,将软件质量与RNA-seq领域的工具使用联系起来.

    结论:

    • 严格的软件开发实践与RNA-seq工具的采用和影响密切相关.
    • 识别成功软件的特征可以指导开发更强大,更易于使用的工具.
    • 这些发现支持在RNA-seq软件开发中需要全社区标准,以提高可靠性和可重复性.