Journal of Genetics, Journal Year: 2024, Volume and Issue: 103(2)
Published: Nov. 14, 2024
Language: Английский
Journal of Genetics, Journal Year: 2024, Volume and Issue: 103(2)
Published: Nov. 14, 2024
Language: Английский
World Journal of Dentistry, Journal Year: 2025, Volume and Issue: 15(10), P. 817 - 825
Published: Jan. 27, 2025
Language: Английский
Citations
0bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 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.
Language: Английский
Citations
0Futuristic Biotechnology, Journal Year: 2025, Volume and Issue: unknown, P. 20 - 25
Published: March 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.
Language: Английский
Citations
0Genes, Journal Year: 2024, Volume and Issue: 15(10), P. 1303 - 1303
Published: Oct. 8, 2024
The giant keyhole limpet
Language: Английский
Citations
0Journal of Genetics, Journal Year: 2024, Volume and Issue: 103(2)
Published: Nov. 14, 2024
Language: Английский
Citations
0