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Supplementary Tables and Data

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Mendeley Data2024-06-27 更新2024-06-27 收录
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All Supplementary Tables are provided in one Excel sheet. If you are loading these tables into R or python, you must remove the top rows, which contain a title, and sometimes a description of the fields. Table ST1: Descriptive statistics of taxa. Various descriptive statistics for subgenera of the genus Lactobacillus and genera detected in this study: number of ASVs within the (sub)genus (n_asvs), prevalence (occurrence), average relative abundance (mean_rel_abundance), frequency of being the most abundant taxon and greater than 0% abundant (top_and_gt0p), same as previous but greater than 30% abundant (top_and_gt30p), same as previous but greater than 50% abundant (top_and_gt50p), the previous three measures but in terms of relative frequencies (top_and_gtXp_rel). Table ST2: Table of the number of Isala participants per VALENCIA subCST. Table ST3: Taxa-taxa correlation network generated from sparcc for the Isala dataset. Each cell indicates the compositionality aware correlation between two taxa. Table ST4: Association tests between participant characteristics and their vaginal microbiome. Results of statistical tests for each tested questionnaire response. Results of association tests are provided for beta-diversity (Adonis tests), alpha-diversity, CSTs, eigentaxa and individual taxa. In addition to effect sizes, test statistics and p-values, the number of participants in each condition is provided. Table ST5: Supplementary meta-data for the Isala samples used in this study. Each ENA sample ID is linked to a participant’s age, whether intercourse occurred in the last 24 hours, technical covariates, and CST annotations. This file can be used in combination with the code available on github. Table ST6: Results of the PERMANOVA (Adonis2) tests between technical factors and the vaginal microbiome. Table ST7: Count data per (sub)genus per sample. Linked by identified to the meta data provided on EGA and Table ST5. This file can be used in combination with the code available on github. Table ST8: Relative abundance data per sample. Linked by identified to the meta data provided on EGA and Table ST5. Table ST9: Taxa classification specification per (sub)genus specified in Tables ST7 and ST8. This file can be used in combination with the code available on github. Table ST10: Count data per ASV per sample. Linked by identified to the meta data provided on EGA and Table ST3. This file can be used in combination with the code available on github. Table ST11: Taxa classification specification per ASV specified in Table ST10. This file can be used in combination with the code available on github.

本研究所有补充表格均整合于单个Excel工作表中。若需将表格导入R或Python编程环境,请先删除包含表格标题及部分字段说明的首行内容。 表ST1:分类群描述性统计。本研究中检测到的乳酸杆菌属(Lactobacillus)亚属及各属的多项描述性统计指标,包括:(亚)属内扩增子序列变体(Amplicon Sequence Variant, ASV)数量(n_asvs)、检出率(prevalence)、平均相对丰度(mean_rel_abundance)、作为最优势分类群且相对丰度大于0%的频次(top_and_gt0p)、作为最优势分类群且相对丰度大于30%的频次(top_and_gt30p)、作为最优势分类群且相对丰度大于50%的频次(top_and_gt50p),以及上述三类指标基于相对频率的计算结果(top_and_gtXp_rel)。 表ST2:按VALENCIA亚CST分组的Isala研究参与者人数统计表。 表ST3:基于Isala数据集通过Sparcc分析生成的分类群间相关网络。表格中每个单元格代表两个分类群间考虑组成效应的相关系数。 表ST4:参与者临床特征与阴道微生物组的关联检验结果。本表格包含所有问卷调研条目对应的统计学检验结果,涵盖β多样性(Adonis检验)、α多样性、群落状态类型(CST)、特征分类群(eigentaxa)及单个分类群的关联检验结果。除效应量、检验统计量与P值外,同时提供各分组下的参与者人数。 表ST5:本研究使用的Isala样本补充元数据。表格中每条欧洲核苷酸档案馆(European Nucleotide Archive, ENA)样本ID均关联对应参与者的年龄、近24小时内是否发生性行为、技术协变量及CST注释信息。本文件可与GitHub上公开的代码配合使用。 表ST6:技术因素与阴道微生物组间的置换多元方差分析(Permutational Multivariate Analysis of Variance, PERMANOVA,Adonis2)检验结果。 表ST7:每个样本按(亚)属划分的计数数据。通过样本标识符关联至欧洲基因组-表型档案库(European Genome-phenome Archive, EGA)及表ST5提供的元数据。本文件可与GitHub上公开的代码配合使用。 表ST8:每个样本的相对丰度数据。通过样本标识符关联至EGA及表ST5提供的元数据。 表ST9:表ST7与ST8中涉及的各(亚)属的分类学分类规范说明。本文件可与GitHub上公开的代码配合使用。 表ST10:每个样本按单个ASV划分的计数数据。通过样本标识符关联至EGA及表ST3提供的元数据。本文件可与GitHub上公开的代码配合使用。 表ST11:表ST10中涉及的各ASV的分类学分类规范说明。本文件可与GitHub上公开的代码配合使用。

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2023-06-28
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