相关实验视频

Updated: Jan 10, 2026

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
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Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization

Published on: July 27, 2021

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玉米中核比率的候选基因通过在多个环境中结合GWAS和QTL映射来确定

Fengli Ye1,2, Ranjan K Shaw2, Babar Ijaz2

  • 1School of Agriculture, Yunnan University, Kunming, 650500, China.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik
|November 25, 2025
PubMed
概括

这项研究确定Zm00001eb257890作为调节玉米核比率 (KR) 的关键基因. 这些发现为分子育种提供了目标,通过改进的同化分区来提高玉米产量.

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A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information

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相关概念视频

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
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Trihybrid Crosses

Trihybrid Crosses
Some of Mendel’s crosses examined three pairs of contrasting characteristics. Such a cross is called a trihybrid cross. A trihybrid cross is a combination of three individual monohybrid crosses. For example, plant height (tall vs. short), seed shape (round vs. wrinkled), and seed color (yellow vs. green).
The F1 generation plants of a trihybrid cross are heterozygous for all three traits and produce eight gametes. Upon self-fertilization, these gametes have an equal...
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The chi-square test is a statistical hypothesis test. It is used to check whether there is a significant difference between an expected value and an observed value. In the context of genetics, it enables us to either accept or reject a hypothesis, based on how much the observed values deviate from the expected values.
The chi-square test was developed by Pearson in 1990.
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