A prediction of genital system tumor for females with uterovaginal inflammations

uterovaginal microbiome in females with chronic inflammations using 16S rRNA sequencing. The generated NGS data provide insights into microbial diversity and potential associations with genital system tumor development, This work done by Diana Fadhil Alsaadi, Mouruj A. Alaubydi, and Taher Abdulla Hawrami

本数据集通过16S核糖体RNA（16S rRNA）测序技术，对罹患慢性炎症的女性的子宫阴道微生物组进行分析。所生成的下一代测序（Next-Generation Sequencing，NGS）数据可为微生物多样性研究及其与生殖系统肿瘤发生的潜在关联提供深入见解。此项研究由Diana Fadhil Alsaadi、Mouruj A. Alaubydi与Taher Abdulla Hawrami完成。