• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

群体重组率估计值的比较。

A comparison of estimators of the population recombination rate.

作者信息

Wall J D

机构信息

Department of Ecology and Evolution, University of Chicago, Illinois 60637, USA.

出版信息

Mol Biol Evol. 2000 Jan;17(1):156-63. doi: 10.1093/oxfordjournals.molbev.a026228.

DOI:10.1093/oxfordjournals.molbev.a026228
PMID:10666715
Abstract

Three new estimators of the population recombination rate C = 4Nr are introduced. These estimators summarize the data using the number of distinct haplotypes and the estimated minimum number of recombination events, then calculate the value of C that maximizes the likelihood of obtaining the summarized data. They are compared with a number of previously proposed estimators of the recombination rate. One of the newly proposed estimators is generally better than the others for the parameter values considered here, while the three programs that calculate maximum-likelihood estimates give conflicting results.

摘要

引入了三种新的群体重组率C = 4Nr的估计方法。这些估计方法利用不同单倍型的数量和估计的最小重组事件数来汇总数据,然后计算出使获得汇总数据的可能性最大化的C值。将它们与一些先前提出的重组率估计方法进行了比较。对于这里考虑的参数值,新提出的估计方法之一通常比其他方法更好,而计算最大似然估计的三个程序给出了相互矛盾的结果。

相似文献

1
A comparison of estimators of the population recombination rate.群体重组率估计值的比较。
Mol Biol Evol. 2000 Jan;17(1):156-63. doi: 10.1093/oxfordjournals.molbev.a026228.
2
A comparison of three estimators of the population-scaled recombination rate: accuracy and robustness.三种群体尺度重组率估计方法的比较:准确性与稳健性
Genetics. 2005 Dec;171(4):2051-62. doi: 10.1534/genetics.104.036293. Epub 2005 Jun 14.
3
Neural networks for self-adjusting mutation rate estimation when the recombination rate is unknown.用于在未知重组率时自我调整突变率估计的神经网络。
PLoS Comput Biol. 2022 Aug 3;18(8):e1010407. doi: 10.1371/journal.pcbi.1010407. eCollection 2022 Aug.
4
Maximum likelihood estimation of recombination rates from population data.基于群体数据的重组率最大似然估计。
Genetics. 2000 Nov;156(3):1393-401. doi: 10.1093/genetics/156.3.1393.
5
Inference about recombination from haplotype data: lower bounds and recombination hotspots.基于单倍型数据的重组推断:下限与重组热点
J Comput Biol. 2006 Mar;13(2):501-21. doi: 10.1089/cmb.2006.13.501.
6
A comparison via simulation of least squares Lehmann-Scheffé estimators of two variances and heritability with those of restricted maximum likelihood.通过模拟对两个方差和遗传力的最小二乘Lehmann-Scheffé估计量与限制最大似然估计量进行比较。
J Anim Sci. 2003 Aug;81(8):1950-8. doi: 10.2527/2003.8181950x.
7
Maximum likelihood vs. minimum chi-square--a general comparison with applications to the estimation of recombination fractions in two-point linkage analysis.最大似然法与最小卡方值法——在两点连锁分析中重组率估计应用方面的一般比较
Genome. 2000 Oct;43(5):853-6. doi: 10.1139/g00-054.
8
Consistency of estimators of the population-scaled recombination rate.群体尺度重组率估计量的一致性。
Theor Popul Biol. 2003 Aug;64(1):67-79. doi: 10.1016/s0040-5809(03)00041-8.
9
Estimating the recombination parameter: a commentary on 'Estimating the recombination parameter of a finite population model without selection' by Richard R. Hudson.
Genet Res. 2007 Dec;89(5-6):425-6. doi: 10.1017/S0016672308009622.
10
Recombination hotspots as a point process.作为点过程的重组热点
Philos Trans R Soc Lond B Biol Sci. 2005 Aug 29;360(1460):1597-603. doi: 10.1098/rstb.2005.1690.

引用本文的文献

1
Fine human genetic map based on UK10K data set.基于 UK10K 数据集的精细人类遗传图谱。
Hum Genet. 2022 Feb;141(2):273-281. doi: 10.1007/s00439-021-02415-8. Epub 2022 Jan 20.
2
A fully integrated machine learning scan of selection in the chimpanzee genome.对黑猩猩基因组选择的全集成机器学习扫描。
NAR Genom Bioinform. 2020 Sep 3;2(3):lqaa061. doi: 10.1093/nargab/lqaa061. eCollection 2020 Sep.
3
Predicting the Landscape of Recombination Using Deep Learning.利用深度学习预测重组景观。
Mol Biol Evol. 2020 Jun 1;37(6):1790-1808. doi: 10.1093/molbev/msaa038.
4
LDJump: Estimating variable recombination rates from population genetic data.LDJump:从群体遗传数据估计可变重组率。
Mol Ecol Resour. 2019 May;19(3):623-638. doi: 10.1111/1755-0998.12994. Epub 2019 Apr 4.
5
The impact of recombination on human mutation load and disease.重组对人类突变负荷和疾病的影响。
Philos Trans R Soc Lond B Biol Sci. 2017 Dec 19;372(1736). doi: 10.1098/rstb.2016.0465.
6
Inference of Ancestral Recombination Graphs through Topological Data Analysis.通过拓扑数据分析推断祖先重组图
PLoS Comput Biol. 2016 Aug 17;12(8):e1005071. doi: 10.1371/journal.pcbi.1005071. eCollection 2016 Aug.
7
Improved Versions of Common Estimators of the Recombination Rate.重组率常见估计量的改进版本
J Comput Biol. 2016 Sep;23(9):756-68. doi: 10.1089/cmb.2016.0039. Epub 2016 Jul 13.
8
Topological Data Analysis Generates High-Resolution, Genome-wide Maps of Human Recombination.拓扑数据分析生成高分辨率、全基因组范围的人类重组图谱。
Cell Syst. 2016 Jul;3(1):83-94. doi: 10.1016/j.cels.2016.05.008. Epub 2016 Jun 23.
9
New Software for the Fast Estimation of Population Recombination Rates (FastEPRR) in the Genomic Era.基因组时代用于快速估计群体重组率的新软件(FastEPRR)
G3 (Bethesda). 2016 Jun 1;6(6):1563-71. doi: 10.1534/g3.116.028233.
10
Natural selection reduced diversity on human y chromosomes.自然选择降低了人类 Y 染色体的多样性。
PLoS Genet. 2014 Jan;10(1):e1004064. doi: 10.1371/journal.pgen.1004064. Epub 2014 Jan 9.