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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...
5.7K
Multiple Comparison Tests01:13

Multiple Comparison Tests

3.9K
Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
3.9K
Leaky Scanning02:28

Leaky Scanning

5.1K
During most eukaryotic translation processes, the small 40S ribosome subunit scans an mRNA from its 5' end until it encounters the first start AUG codon. The large 60S ribosomal subunit then joins the smaller one to initiate protein synthesis. The location of the translation initiation is largely determined by the nucleotides near the start codon as there may be multiple translation initiation sites present on the mRNA.  Marilyn Kozak discovered that the sequence RCCAUGG (where R...
5.1K
RNA-seq03:21

RNA-seq

10.0K
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...
10.0K
Wilcoxon Signed-Ranks Test for Matched Pairs01:09

Wilcoxon Signed-Ranks Test for Matched Pairs

123
The Wilcoxon signed-rank test for matched pairs evaluates the null hypothesis by combining the ranks of differences with their signs. It essentially tests whether the median of the differences in a population of matched pairs is zero. Since the test incorporates more information than the sign test, it generally yields more trustable conclusions. This test also does not require the data to follow a normal distribution, but two conditions must be met for it to be applicable: (1) the data must...
123
Next-generation Sequencing03:00

Next-generation Sequencing

88.8K
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....
88.8K

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相关实验视频

Updated: Jun 30, 2025

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
07:08

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Published on: July 14, 2015

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改进了使用SEEKR进行非线性序列比较的功能.

Shuang Li, Quinn Eberhard, Luke Ni

    bioRxiv : the preprint server for biology
    |March 18, 2024
    PubMed
    概括
    此摘要是机器生成的。

    通过k-mer表示 (SEEKR) 的序列评估现在估计了序列相似性的统计意义. 新的SEEKR函数识别长非编码RNA (lncRNA) 中的XIST样片段,并支持RNA-Seq数据使用.

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    Creating and Applying a Reference to Facilitate the Discussion and Classification of Proteins in a Diverse Group
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    Creating and Applying a Reference to Facilitate the Discussion and Classification of Proteins in a Diverse Group

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    G2-seq: A High Throughput Sequencing-based Technique for Identifying Late Replicating Regions of the Genome
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    G2-seq: A High Throughput Sequencing-based Technique for Identifying Late Replicating Regions of the Genome

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    相关实验视频

    Last Updated: Jun 30, 2025

    Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
    07:08

    Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

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    Creating and Applying a Reference to Facilitate the Discussion and Classification of Proteins in a Diverse Group
    07:49

    Creating and Applying a Reference to Facilitate the Discussion and Classification of Proteins in a Diverse Group

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    G2-seq: A High Throughput Sequencing-based Technique for Identifying Late Replicating Regions of the Genome
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    G2-seq: A High Throughput Sequencing-based Technique for Identifying Late Replicating Regions of the Genome

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    科学领域:

    • 生物信息学是一种生物信息学.
    • 基因组学就是基因组学.
    • 分子生物学分子生物学

    背景情况:

    • 序列比较对于理解核酸的功能和演变至关重要.
    • 量化非线性序列相似性在生物信息学中是一个挑战.
    • 在非编码RNA中识别功能元素需要强大的分析工具.

    研究的目的:

    • 增强SEEKR (通过k-mer表示进行SEQuence评估) 工具的统计显著性估计和可视化功能.
    • 应用改进的SEEKR工具来识别长非编码RNA (lncRNAs) 中的新功能元素.
    • 通过实验数据验证发现,并建立lncRNA研究的最佳实践.

    主要方法:

    • 在SEEKR算法中开发新的统计函数,用于p值估计.
    • 使用k-mer表示来量化非线性序列相似性.
    • 应用SEEKR来识别含有XIST类序列片段的lncRNAs.
    • 整合RNA-Seq数据分析以验证 lncRNA注释.

    主要成果:

    • 在SEEKR.中成功实现p值估计和可视化功能.
    • 识别了几种具有XIST样序列片段的染色质丰富 lncRNAs.
    • 证明已识别的碎片与XIST相关的蛋白质结合.
    • 使用RNA-Seq数据验证lncRNA注释被强调为最佳实践.

    结论:

    • 增强的SEEKR工具提供了对序列相似性的可靠统计评估.
    • SEEKR促进了功能序列元素的发现,例如 lncRNAs 中的 XIST 样片段.
    • 整合RNA-Seq数据对于可靠的lncRNA注释和下游功能研究至关重要.