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Updated: May 28, 2025

Generation of High Quality Chromatin Immunoprecipitation DNA Template for High-throughput Sequencing ChIP-seq
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Generation of High Quality Chromatin Immunoprecipitation DNA Template for High-throughput Sequencing ChIP-seq

Published on: April 19, 2013

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糖尿病:通过计算生物学识别的新候选基因以及非同义单核酸多态的结构和功能影响

Naveenn Kumar1, Karthiga Selvaraj1, Lakshmiganesh Kadumbur Gopalshami1

  • 1Structural Informatics and Chemical Biology Laboratory, Department of Biotechnology, Anna University, Chennai, India.

Omics : a journal of integrative biology
|February 10, 2025
PubMed
概括

这项研究确定了糖尿病的新候选基因,这种疾病将2型糖尿病和肥胖联系在一起. 计算分析揭示了这些基因中的特定遗传变异 (nsSNP) 如何影响蛋白质结构和功能,为精准医学提供了洞察力.

关键词:
计算生物学是计算生物学.糖尿病性 糖尿病性 糖尿病性糖尿病 糖尿病患者 糖尿病患者遗传学和基因组学是一门学科.突变是一种突变.在 nsSNP 中,

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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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A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
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