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Molecular Genetics and Genomics : MGG|November 17, 2022
Association between placental DNA methylation and fetal congenital heart diseaseJingjing Liu, Yuduo Wu, Hairui Sun, et al.
Molecular Genetics and Genomics : MGG|March 1, 2023
Characterization of POLE c.1373A > T p.(Tyr458Phe), causing high cancer riskMariève J Rocque, Vilde Leipart, Ashish Kumar Singh, et al.
Molecular Genetics and Genomics : MGG|April 22, 2015
Protein remote homology detection by combining Chou's distance-pair pseudo amino acid composition and principal component analysisBin Liu, Junjie Chen, Xiaolong Wang
Molecular Genetics and Genomics : MGG|June 4, 2014
Genome-wide transcriptome analysis of Arabidopsis response to sulfur dioxide fumigationJun Zhao, Huilan Yi
Molecular Genetics and Genomics : MGG|April 17, 2023
Transcriptomic analysis reveals GA3 is involved in regulating flavonoid metabolism in grape development for facility cultivationYongjuan Dong, Yuxia Wu, Zhongxing Zhang, et al.
Molecular Genetics and Genomics : MGG|February 7, 2026
Genome-wide analysis of the R2R3-MYB family reveals potential regulators of lignin and tricin metabolism in the model grass Setaria viridisGiovanni Victorio Cerruti, Lucas Xavier da Cunha, Alice Cristine Cursino, et al.
Molecular Genetics and Genomics : MGG|January 31, 2026
In vitro assessment of siRNA-mediated LRP5 silencing and temozolomide treatment in glioblastoma and brain cancer stem cellsAslihan Kucuk, Hasan Onur Caglar, Omer Faruk Karatas, et al.
Molecular Genetics and Genomics : MGG|January 31, 2026
Mitochondrial genomes of Mentha reveal structural complexity and evolutionary diversityBing-Yan Shao, Si-Jie Liu, Tian-Qi Zhang, et al.
Molecular Genetics and Genomics : MGG|January 31, 2026
Exploring the genetic landscape of sesame: whole genome sequencing reveals distinct Egyptian lineages and SNP variabilityClara R Azzam, Ramadan Ahmed Arafa, Mohamed Z S Ahmed, et al.
Molecular Genetics and Genomics : MGG|January 20, 2026
Flemboda artificial intelligence: hybrid fuzzy-convolutional neural network for efficient chromosome abnormality classificationK Kiruthika, S Sarumathi, M Karpagam, et al.
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