New Sights into Bioinformatics of Gene Regulations and Structure

[No abstract available]

Авторы
Anashkina Anastasia A. 1, 2 , Orlova Nina G. 3 , Kolchanov Nikolay A. 4, 5 , Orlov Yuriy Lvovich 2, 4, 6
Журнал
International Journal of Molecular Sciences
Издательство
MDPI AG
Номер выпуска
13
Язык
Английский
Статус
Опубликовано
Ссылка
Внешняя ссылка
DOI
10.3390/IJMS26136442
Номер
6442
Том
26
Год
2025
Организации
  • 1 Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russian Federation
  • 2 Digital Health Center, Sechenov First Moscow State Medical University, Moscow, Russian Federation
  • 3 Department of Mathematics, Financial University under the Government of the Russian Federation, Moscow, Russian Federation
  • 4 Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Novosibirsk Oblast, Russian Federation
  • 5 Department of Natural Sciences, Novosibirsk State University, Novosibirsk, Novosibirsk Oblast, Russian Federation
  • 6 Agrarian and Technological Institute, RUDN University, Moscow, Moscow Oblast, Russian Federation
Ключевые слова
circular ribonucleic acid; condensin; DNA; follitropin; follitropin receptor; laccase; microRNA; molecular marker; untranslated RNA; accuracy; amino acid sequence; Arabidopsis thaliana; artificial intelligence; Auricularia auricula-judae; beta thalassemia; bioinformatics; bovine model; cell function; cell line; Chinese hamster; cystic fibrosis; data base; data integration; deep learning; DNA methylation; DNA sequence; domestic animal; Duchenne muscular dystrophy; Editorial; epigenetic modification; food quality; fungus; gene control; gene expression; gene expression profiling; gene expression regulation; gene structure; genetic transcription; geneticist; glycosylation; high throughput sequencing; housekeeping gene; interdisciplinary education; long short term memory network; machine learning; meat; muscle development; nonhuman; nonsense mediated mRNA decay; nonsense mutation; phenotype; physician; plant; plant stress; prediction; promoter region; protein expression; protein structure; scientist; Shwachman syndrome; single nucleotide polymorphism; stop codon; systems biology; TATA box; transcription initiation site; transposon; tumor suppressor gene; gene regulatory network; human; procedures; Computational Biology; Gene Regulatory Networks; Humans
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