Search research articles

关于 JoVE

概览领导团队博客 JoVE 帮助中心

作者

出版流程编辑委员会范围与政策同行评审常见问题投稿

图书馆员

用户评价订阅访问资源图书馆顾问委员会常见问题

研究

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments 存档

教育

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual 教师资源中心教师网站

使用条款与条件

相关概念视频

Evolutionary Relationships through Genome Comparisons

Evolutionary Relationships through Genome Comparisons

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...

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序

Same author

Evolutionary dynamics of early and late mutational signatures in metastatic cancer.

Frontiers in bioinformatics·2026

Same author

Uncovering Design and Assembly Rules for mRNA-DNA Origami.

Nano letters·2026

Same author

Overcoming steric inhibition of antibody-dependent phagocytosis with tall adhesions.

bioRxiv : the preprint server for biology·2026

Same author

An Evolutionary Metric for Estimating PhyloAges from Bulk Sequencing of Hematopoietic Stem Cells Reveals the Tempo of Blood Aging in Cancer and Longevity.

Journal of molecular evolution·2025

Same author

From bench to bytes: a practical guide to RNA sequencing data analysis.

Frontiers in genetics·2025

Same author

Challenges in Applying DNA-Binding Protein Predictors to Biological Research.

International journal of molecular sciences·2025

Search research articles

相关实验视频

Updated: Jul 28, 2025

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

Published on: April 11, 2016

来自瘤批量测序数据的分子进化估计的引导信心.

Jared Huzar¹, Madelyn Shenoy¹, Maxwell D Sanderford¹

¹Institute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA, United States.

Frontiers in bioinformatics

|June 1, 2023

概括

一种新的引导式方法通过为变异赋值提供统计信心来增强癌症克隆分析. 这种工具提高了癌症进化研究和转移研究的可靠性.

关键词:

这是一个bootstrap系统.大量测序批量测序.驱动器突变变异的驱动器转移转移转移转移瘤的演变瘤的演变

更多相关视频

Detecting Somatic Genetic Alterations in Tumor Specimens by Exon Capture and Massively Parallel Sequencing

Detecting Somatic Genetic Alterations in Tumor Specimens by Exon Capture and Massively Parallel Sequencing

Published on: October 18, 2013

Comparative Lesions Analysis Through a Targeted Sequencing Approach

Comparative Lesions Analysis Through a Targeted Sequencing Approach

Published on: November 5, 2019

相关实验视频

Last Updated: Jul 28, 2025

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

Published on: April 11, 2016

Detecting Somatic Genetic Alterations in Tumor Specimens by Exon Capture and Massively Parallel Sequencing

Detecting Somatic Genetic Alterations in Tumor Specimens by Exon Capture and Massively Parallel Sequencing

Published on: October 18, 2013

Comparative Lesions Analysis Through a Targeted Sequencing Approach

Comparative Lesions Analysis Through a Targeted Sequencing Approach

Published on: November 5, 2019

科学领域:

计算生物学计算生物学
癌症基因组学癌症基因组学
进化医学是一种进化医学.

背景情况:

大量测序是分析瘤遗传多样性和癌症克隆进化的标准.
目前的方法推断癌症克隆,但缺乏对变异分配的统计信心指标.
精确的克隆鉴定对于了解癌症进展和转移至关重要.

研究的目的:

为预测癌症克隆和计算统计信心引入一种新的引导重抽样方法.
评估克隆预测和下游推断的可靠性,例如映射转移性途径.
将该方法应用于经验转移性癌症数据,并量化对转移期间突变计数的信心.

主要方法:

开发了一个引导式重新抽样方法,将克隆预测与变量分配的统计信心计算整合在一起.
使用计算机模拟数据集验证了该方法,以评估克隆预测可靠性和下游推断准确性.
应用了引导方法来分析从转移性癌症的经验数据集.

主要成果:

引导式方法准确地评估预测癌症克隆和下游推断的可靠性.
分析显示,大量来自真实数据的推断可能缺乏可靠的统计支持.
经验数据分析显示,从原发性与转移性瘤起源的转移性事件中,驱动突变的数量相似,这表明正在进行的突变演变.

结论:

开发的引导式方法为癌症克隆推断中的变异赋值提供了必要的统计信心.
这种方法提高了癌症基因组学进化分析和转移研究的可靠性.
软件实现 (CloneFinderPlus) 可用于更广泛的研究应用.