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Updated: Feb 22, 2026

A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq
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トランスクリプトームシーケンシングデータとバイオインフォマティクス分析に基づく尿道下裂に関連するハブ遺伝子と分子メカニズム

Haoyu Yao1,2, Yingzhong Fan3, Luping Li1

  • 1Department of Pediatric Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.

BMC medical genomics
|February 20, 2026
PubMed
まとめ

No abstract available in PubMed .

キーワード:
バイオインフォマティクスハブ遺伝子尿道下裂分子メカニズムトランスクリプトームシーケンシングデータ

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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.
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