Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
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 JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Bias01:22

Bias

4.2K
Bias refers to any tendency that prevents a question from being considered unprejudiced. In research, bias occurs when one outcome or answer is selected or encouraged over others in sampling or testing. Bias can occur during any research phase, including study design, data collection, analysis, and publication.
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
4.2K
Hindsight Biases01:12

Hindsight Biases

3.4K
Hindsight bias leads you to believe that the event you just experienced was predictable, even though it really wasn’t. In other words, you knew all along that things would turn out the way they did. Can you relate this to the phrase "Hindsight is 20/20" now? 
3.4K
Types of Errors: Detection and Minimization01:12

Types of Errors: Detection and Minimization

1.6K
Error is the deviation of the obtained result from the true, expected value or the estimated central value. Errors are expressed in absolute or relative terms.
Absolute error in a measurement is the numerical difference from the true or central value. Relative error is the ratio between absolute error and the true or central value, expressed as a percentage.
Errors can be classified by source, magnitude, and sign. There are three types of errors: systematic, random, and gross.
Systematic or...
1.6K
Stereotypes, Prejudice, and Discrimination02:55

Stereotypes, Prejudice, and Discrimination

90.2K
Humans are very diverse and although we share many similarities, we also have many differences. The social groups we belong to help form our identities (Tajfel, 1974). These differences may be difficult for some people to reconcile, which may lead to prejudice toward people who are different. Prejudice is a negative attitude and feeling toward an individual based solely on one’s membership in a particular social group (Allport, 1954; Brown, 2010). Prejudice is common against people who...
90.2K
The Representativeness Heuristic02:13

The Representativeness Heuristic

15.8K
The representative heuristic describes a biased way of thinking, in which you unintentionally stereotype someone or something. For example, you may assume that your professors spend their free time reading books and engaging in intellectual conversation, because the idea of them spending their time playing volleyball or visiting an amusement park does not fit in with your stereotypes of professors.
15.8K
Fundamental Attribution Error01:14

Fundamental Attribution Error

12.9K
According to some social psychologists, people tend to overemphasize internal factors as explanations—or attributions—for the behavior of other people. They tend to assume that the behavior of another person is a trait of that person, and to underestimate the power of the situation on the behavior of others. They tend to fail to recognize when the behavior of another is due to situational variables, and thus to the person’s state. This erroneous assumption is...
12.9K

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

RLBWT-based LCP computation in compressed space for terabase-scale pangenome analysis.

Bioinformatics (Oxford, England)·2026
Same author

Movi Color: fast and accurate taxonomic classification with the move structure.

ACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine·2026
Same author

Minimizing reference bias with an imputed personalized reference.

Genome research·2026
Same author

RLBWT-Based LCP Computation in Compressed Space for Terabase-Scale Pangenome Analysis.

bioRxiv : the preprint server for biology·2026
Same author

KeBaB: <i>k</i>-mer based breaking for finding long MEMs.

International Symposium on String Processing and Information Retrieval : SPIRE ... : proceedings. SPIRE (Symposium)·2025
Same author

Prefix-free parsing for merging big BWTs.

International Symposium on String Processing and Information Retrieval : SPIRE ... : proceedings. SPIRE (Symposium)·2025

相关实验视频

Updated: Jul 8, 2025

A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants
11:14

A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants

Published on: October 4, 2015

11.0K

尽量减少参考偏差,采用首次计算的方法.

Kavya Vaddadi1, Taher Mun1, Ben Langmead1

  • 1Department of Computer Science, Johns Hopkins University.

bioRxiv : the preprint server for biology
|December 11, 2023
PubMed
概括

创建个性化的双倍体引用可以提高DNA测序的准确性. 这种新的输入先对齐框架通过减少引用偏差来增强变异调用,为基因组研究提供更高的精度和回忆.

科学领域:

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

背景情况:

  • 潘格诺姆索引的目的是尽量减少对数据分析序列的参考偏差.
  • 个性化双胞胎参考通过匹配个体特定的等位基因,进一步减少偏差.

研究的目的:

  • 引入一种新的赋值第一对齐框架,将基因型赋值和泛基因组对齐结合起来.
  • 为了提高全基因组DNA测序实验的准确性和效率.

主要方法:

  • 使用测序的子样本读取个体的基因型.
  • 使用参考面板和归算算法,归入个性化双质参考.
  • 用线性或图形对齐器对读对齐的个性化参考进行索引.

主要成果:

  • 与图形基因组对齐器相比,实现了更高的变异调用召回 (99.54%vs. 99.37%).
  • 证明了卓越的精度 (99.36%与99.18%) 和F1得分 (99.45%与99.28%).
  • 个性化参考索引比 pangenome 索引更小,查询速度更快.

结论:

  • 输入先调整框架显著改善了变量调用性能.

更多相关视频

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.6K
A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

2.5K

相关实验视频

Last Updated: Jul 8, 2025

A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants
11:14

A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants

Published on: October 4, 2015

11.0K
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.6K
A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

2.5K
  • 个性化双倍体引用为DNA测序提供了更准确和更有效的替代品,而不是泛基因组索引.
  • 这种方法对于寻求减少偏差的全基因组DNA测序实验是有利的.