Journal of Genetics, Год журнала: 2024, Номер 103(2)
Опубликована: Ноя. 14, 2024
Язык: Английский
Journal of Genetics, Год журнала: 2024, Номер 103(2)
Опубликована: Ноя. 14, 2024
Язык: Английский
World Journal of Dentistry, Год журнала: 2025, Номер 15(10), С. 817 - 825
Опубликована: Янв. 27, 2025
Язык: Английский
Процитировано
0bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2025, Номер unknown
Опубликована: Фев. 6, 2025
Abstract Background The genus Prionotus “searobins” are marine ray-finned fish of the subfamily Prionotinae that have evolved distinctive morphological features and specialized behavior for walking over seafloor detecting buried preys, making them excellent candidates biological models in evolutionary genetics studies. Despite that, their phylogenetic relationships still not well understood. Here, we assembled first complete mitochondrial genomes two searobin species namely alatus P. stephanophrys performed a comparative mitogenome examination including analysis based on mitogenomic information. Methods results Both mitogenomes were using Illumina genomic reads mined from GenBank database. Single circular contigs 16,602 16,896 bp obtained respectively. displayed standard vertebrate organization (13 PCGs, 2 rRNAs, 22 tRNAs, putative control region) except third tRNA-Leu an extra non-coding region detected . A Bayesian recovered all into monophyletic clade within Prionotinae, sister taxon Bellator grouped discrete subclade. Species Triglinae resolved basal group Triglidae. Conclusion presented herein represent important step deeper understanding evolution Taxonomic clarification may also support future management conservation efforts these economically valuable species.
Язык: Английский
Процитировано
0Futuristic Biotechnology, Год журнала: 2025, Номер unknown, С. 20 - 25
Опубликована: Март 31, 2025
Colorectal cancer (CRC) is one of the most prevalent cancers and second leading cause cancer-related deaths globally. Germline mutations in CRC are associated with MSH2 MSH6 genes, which prevent infection for DNA MMR pathway. Objectives: To enhance CRC-related prediction using Random Forest algorithm on NGS data gene. Given tremendous amount genetic information obtained from NGS, a model early diagnosis individual treatment necessary. Methods: The raw sequencing genes were meticulously downloaded NCBI's SRA database. three datasets 1000, 2000, 3000 sequences carefully analyzed to assess genomic features, including ORF count, nucleotide content, AT/CG ratio, G-quadruplex signal, mutation rates, understand their correlation colorectal cancer. then divided into training set (80%) test (20%) testing Python, employing Biopython package analysis feature extraction. was rigorously evaluated accuracy, confusion matrix, classification report, instilling confidence research process accurate prediction. Results: yielded high accuracy 96.25%, 98.37%, 99. 5% sequences, respectively. matrix showed that very identifying true negatives, especially large set. Conclusions: study successfully applied predict gene mutations. model's potential revolutionize both exciting optimistic.
Язык: Английский
Процитировано
0Genes, Год журнала: 2024, Номер 15(10), С. 1303 - 1303
Опубликована: Окт. 8, 2024
The giant keyhole limpet
Язык: Английский
Процитировано
0Journal of Genetics, Год журнала: 2024, Номер 103(2)
Опубликована: Ноя. 14, 2024
Язык: Английский
Процитировано
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