Decentralised aerobic granular sludge gravity driven membrane for treatment of raw sewage under arid conditiosn
收藏NIAID Data Ecosystem2026-05-10 收录
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https://www.ncbi.nlm.nih.gov/sra/SRP678494
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资源简介:
1. Characterize microbial diversity:To profile the bacterial communities present in the studied environment/sample using 16S rRNA sequencing.2. Identify dominant and rare taxa:To determine the relative abundance of microbial taxa and detect less abundant but potentially important organisms.3. Compare community structure:To evaluate differences in microbial composition across samples, conditions, or treatments.4. Support downstream functional analysis:To generate a dataset suitable for inferring microbial functions, ecological interactions, or correlation with environmental/clinical parameters.5. Contribute to public databases:To make the 16S rRNA sequencing data publicly accessible for reproducibility, meta-analyses, and broader scientific use.
1. 表征微生物多样性:采用16S核糖体RNA(16S rRNA)测序技术,对研究环境或样本中的细菌群落进行谱型解析。2. 识别优势与稀有类群:明确微生物类群的相对丰度,同时检出丰度较低但具备潜在研究价值的微生物类群。3. 比较群落结构:评估不同样本、环境条件或实验处理下微生物组成的差异。4. 支撑下游功能分析:构建可用于推断微生物功能、生态互作关系,或关联环境/临床参数的数据集。5. 助力公共数据库建设:将16S rRNA测序数据公开共享,以支持研究可重复性、元分析(meta-analysis)及更广泛的科学应用。
创建时间:
2026-02-24



