植物遗传计算软件

Desi Margaretta
{"title":"植物遗传计算软件","authors":"Desi Margaretta","doi":"10.55338/jikomsi.v7i1.2733","DOIUrl":null,"url":null,"abstract":"Deadlock Metode codominant marker data is often carried out with the assumption that the marker is dominant, an approach that can oversimplify results and lead to erroneous conclusions. The aim of this paper is to provide a practical guide to conducting codominant data analysis and selecting appropriate software. We provide an overview of the computational methods and basic principles required for statistical analysis of codominant molecular markers to evaluate genetic diversity and molecular characterization of germplasm collections. Each software package is evaluated by analyzing the same set of data. Differences between parameters are detailed, and comments are provided regarding the software output. This paper aims to provide a better understanding of the differences among available software packages, so that researchers can make a choice that suits their codominant genetic analysis needs. spoken in English.","PeriodicalId":517527,"journal":{"name":"Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI)","volume":"56 9","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Perangkat Lunak Perhitungan Hereditas Pada Tumbuhan\",\"authors\":\"Desi Margaretta\",\"doi\":\"10.55338/jikomsi.v7i1.2733\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Deadlock Metode codominant marker data is often carried out with the assumption that the marker is dominant, an approach that can oversimplify results and lead to erroneous conclusions. The aim of this paper is to provide a practical guide to conducting codominant data analysis and selecting appropriate software. We provide an overview of the computational methods and basic principles required for statistical analysis of codominant molecular markers to evaluate genetic diversity and molecular characterization of germplasm collections. Each software package is evaluated by analyzing the same set of data. Differences between parameters are detailed, and comments are provided regarding the software output. This paper aims to provide a better understanding of the differences among available software packages, so that researchers can make a choice that suits their codominant genetic analysis needs. spoken in English.\",\"PeriodicalId\":517527,\"journal\":{\"name\":\"Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI)\",\"volume\":\"56 9\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-03-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.55338/jikomsi.v7i1.2733\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.55338/jikomsi.v7i1.2733","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

死锁 Metode 代显性标记数据通常是在假设标记为显性的情况下进行的,这种方法可能会过度简化结果并导致错误的结论。本文旨在为进行显性数据分析和选择合适的软件提供实用指南。我们概述了统计分析共显性分子标记所需的计算方法和基本原则,以评估种质资源的遗传多样性和分子特征。通过分析同一组数据,对每个软件包进行了评估。详细说明了参数之间的差异,并对软件的输出结果进行了评论。本文旨在让人们更好地了解现有软件包之间的差异,以便研究人员做出适合其同源遗传分析需要的选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Perangkat Lunak Perhitungan Hereditas Pada Tumbuhan
Deadlock Metode codominant marker data is often carried out with the assumption that the marker is dominant, an approach that can oversimplify results and lead to erroneous conclusions. The aim of this paper is to provide a practical guide to conducting codominant data analysis and selecting appropriate software. We provide an overview of the computational methods and basic principles required for statistical analysis of codominant molecular markers to evaluate genetic diversity and molecular characterization of germplasm collections. Each software package is evaluated by analyzing the same set of data. Differences between parameters are detailed, and comments are provided regarding the software output. This paper aims to provide a better understanding of the differences among available software packages, so that researchers can make a choice that suits their codominant genetic analysis needs. spoken in English.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信