找回密碼
 To register

QQ登錄

只需一步,快速開(kāi)始

掃一掃,訪問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Genome-Wide Association Studies; Davoud Torkamaneh,Fran?ois Belzile Book 2022 The Editor(s) (if applicable) and The Author(s), under exclu

[復(fù)制鏈接]
樓主: 我贊成
41#
發(fā)表于 2025-3-28 17:30:14 | 只看該作者
42#
發(fā)表于 2025-3-28 22:12:41 | 只看該作者
43#
發(fā)表于 2025-3-29 02:51:10 | 只看該作者
1064-3745 expertsThis detailed collection explores genome-wide association studies (GWAS), which have revolutionized the investigation of complex traits over the past decade and have unveiled numerous useful genotype–phenotype associations in plants. The book describes the key concepts and methods underlying
44#
發(fā)表于 2025-3-29 04:36:13 | 只看該作者
45#
發(fā)表于 2025-3-29 10:53:54 | 只看該作者
https://doi.org/10.1007/978-1-4842-4433-3 in formatting of genotype data for use with popular GWAS programs. This protocol describes how typical SV genotype data can be formatted for input to three GWAS programs commonly used by the plant genetics community: TASSEL, GAPIT, and mrMLM.
46#
發(fā)表于 2025-3-29 13:44:10 | 只看該作者
Book 2022decade and have unveiled numerous useful genotype–phenotype associations in plants. The book describes the key concepts and methods underlying GWAS, including the genetic architecture underlying variation for phenotypic traits, the structure of genetic variation in plants, technologies for capturing
47#
發(fā)表于 2025-3-29 16:12:32 | 只看該作者
48#
發(fā)表于 2025-3-29 23:16:55 | 只看該作者
A Practical Guide to Using Structural Variants for Genome-Wide Association Studies in formatting of genotype data for use with popular GWAS programs. This protocol describes how typical SV genotype data can be formatted for input to three GWAS programs commonly used by the plant genetics community: TASSEL, GAPIT, and mrMLM.
49#
發(fā)表于 2025-3-30 03:52:24 | 只看該作者
Klassifizierung der Quantenmechanik,n crops with simple genomes to crops with very complex, large, polyploid genomes. Depending on the crop and the goal of the GWAS, there are several options and practical considerations to take into account when selecting a genotyping technology to ensure that the right coverage, accuracy, and cost for the study is achieved.
50#
發(fā)表于 2025-3-30 07:35:15 | 只看該作者
https://doi.org/10.1007/978-1-4842-3643-7 as possible any effect that can lead to misestimation of the phenotypic values. The purpose of this chapter is to explain a series of important steps to explore and analyze data from METs used to characterize an association panel. Two datasets are used to illustrate two different scenarios.
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛(ài)論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-6 00:03
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
棋牌| 穆棱市| 依安县| 望奎县| 平泉县| 乌拉特中旗| 闵行区| 平泉县| 仁怀市| 怀来县| 厦门市| 桂林市| 乳源| 辽阳市| 蓝山县| 九江县| 桐柏县| 宜丰县| 郓城县| 修水县| 邢台市| 镶黄旗| 吐鲁番市| 安溪县| 偃师市| 赤城县| 保康县| 呼图壁县| 杂多县| 甘泉县| 陆丰市| 南汇区| 深州市| 延庆县| 阜康市| 定陶县| 马尔康县| 盐亭县| 高淳县| 监利县| 鲁甸县|