Predicting the pathogenicity of NKX2-1 and IGSF1 variants with in silico bioinformatic tools

Satoshi Narumi

doi:10.1297/cpe.29.123

Predicting the pathogenicity of NKX2-1 and IGSF1 variants with in silico bioinformatic tools

研究成果: Article › 査読

本文言語	English
ページ（範囲）	123-126
ページ数	4
ジャーナル	clinical pediatric endocrinology
巻	29
号	3
DOI	https://doi.org/10.1297/cpe.29.123
出版ステータス	Published - 2020 7月
外部発表	はい

ASJC Scopus subject areas

小児科学、周産期医学および子どもの健康
内分泌学、糖尿病および代謝内科学
内分泌学

UN SDG

この成果は、次の持続可能な開発目標に貢献しています

文献へのアクセス

10.1297/cpe.29.123

他のファイルとリンク

引用スタイル

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title = "Predicting the pathogenicity of NKX2-1 and IGSF1 variants with in silico bioinformatic tools",

keywords = "Congenital hypothyroidism, Genetics, IGSF1, In silico, Mutation, NKX2-1",

author = "Satoshi Narumi",

note = "Funding Information: This work was supported by the JSPS KAKENHI grant number 19K22607.",

year = "2020",

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