| 项目编号 |
PRJCA009915 |
| 项目标题 |
Machine learning and large-scale genomic analysis of Acinetobacter baumannii investigates biological roles of insertion sequences in antibiotic resistance |
| 涉及领域 |
Medical |
| 数据类型 |
Whole genome sequencing
Raw sequence reads
Genome sequencing
Assembly
|
| 物种名称 |
Acinetobacter baumannii
|
| 描述信息 |
Combining machine learning and large-scale genomic analysis to explore the genome-wide distribution characteristics of insertion sequences and their impact on drug resistance phenotypes in Acinetobacter baumannii based on public and self-collected data |
| 样品范围 |
Monoisolate |
| 发布日期 |
2024-06-06 |
| 出版信息 |
| PubMed ID |
文章标题 |
杂志名称 |
Doi |
发表年份 |
| 39976435
|
Large-scale genomic analysis reveals significant role of insertion sequences in antimicrobial resistance of Acinetobacter baumannii
|
mBio
|
10.1128/mbio.02852-24
|
2025
|
|
|
| 数据提供者 |
|
| 实验材料提供者 |
Chinese PLA General Hospital |
| 项目资金来源 |
| 机构 |
项目类型 |
授权项目ID |
授权项目名称 |
| National Natural Science Foundation of China (NSFC)
|
|
61976223
|
|
| National Key Research and Development Program
|
Research and development of digital medical equipment
|
2019YFCO121703
|
|
| National Key Research and Development Program
|
Stem Cell and Translational Research
|
2019YFA011070
|
|
| Key Scientific Research Project of Military Logistics
|
|
BLB20J002
|
|
|
|
| 提交者 |
Zhimei
Duan (549117002@qq.com)
|
| 提交单位 |
Chinese PLA General Hospital |
| 提交日期 |
2022-06-06 |
