Supplemental material for Seifuddin et al. 2020

Title: "lncRNAKB: A Knowledgebase of Tissue-specific Functional Annotation and Trait Association of Long Noncoding RNA"<br><b>Dataset contains all supplementary figures and tables:<br></b><br><b>Figure 1:</b> Illustration showing the different classes of lncRNAs with respect to localization and the direction of transcription of nearby mRNA (protein-coding genes)<br><b>Figure 2: </b>Distribution of successfully assigned RNA-seq reads to lncRNAKB gene annotation using GTEx v7. Red bars represent samples with &lt;106 assigned reads<br><b>Table 1: </b>Summary results of the SMR analysis in 323 GWAS traits from the UK Biobank. For each trait, it shows the total number of subjects, number of cases and controls, prevalence of disease and the number of genes with pSMR ≤0.05 (genes prioritized by SMR) by tissue<br><b>Table 2:</b> Number of transcripts and the sources of annotations at gene level for non-coding genes in CHESS and lncRNAKB<br><b>Table 3: </b>Number of RNA-seq samples that were analyzed across 31 solid human normal tissues from GTEx<br><b>Table 4: </b>Summary statistics of alignment (total number of paired-end reads, total number of uniquely aligned paired-end reads, unique and overall alignment rate) and quantification (total gene count, total number of uniquely aligned paired-end reads used for quantification, total number of uniquely aligned paired-end reads assigned to genes and proportion of successfully assigned paired-end reads to genes) across all RNA-seq samples analyzed by tissue from GTEx<br><b>Table 5: </b>Summary results of the WGCNA analysis and over-representation analysis (ORA) based on the hypergeometric test using the Gene Ontology (GO) terms across all the modules in 28 solid human normal tissues using the GTEx RNA-seq data<br><br><br>

标题：lncRNAKB：长链非编码RNA（long noncoding RNA, lncRNA）组织特异性功能注释与性状关联知识库
本数据集包含全部补充图表：
<b>图1：</b>展示依据定位特征及邻近mRNA（蛋白编码基因）的转录方向划分的长链非编码RNA不同类别
<b>图2：</b>使用GTEx v7数据集将成功比对至lncRNAKB基因注释的RNA测序（RNA-seq）读段分布情况。红色柱形代表比对读段数小于106的样本
<b>表1：</b>来自英国生物样本库（UK Biobank）的323个全基因组关联研究（Genome-Wide Association Study, GWAS）性状的基于汇总数据的孟德尔随机化分析（Summary-based Mendelian Randomization, SMR）汇总结果。针对每个性状，该表展示了受试者总人数、病例与对照数量、疾病患病率，以及按组织分类的pSMR≤0.05的基因（经SMR优先筛选的基因）数量
<b>表2：</b>CHESS与lncRNAKB数据库中非编码基因在基因层面的转录本数量及注释来源
<b>表3：</b>GTEx数据库中31个人体实体正常组织的已分析RNA-seq样本数量
<b>表4：</b>基于GTEx数据库按组织分类的全部RNA-seq样本的比对与定量汇总统计量，其中比对统计量包括双端读段总数、唯一比对双端读段总数、唯一比对率及总比对率；定量统计量包括基因总数、用于定量的唯一比对双端读段数、分配至基因的唯一比对双端读段数，以及成功分配至基因的双端读段占比
<b>表5：</b>基于GTEx数据库RNA-seq数据，针对28个人体实体正常组织的所有模块，通过基因本体（Gene Ontology, GO）术语结合超几何检验进行的加权基因共表达网络分析（Weighted Gene Co-expression Network Analysis, WGCNA）及富集分析（Over-representation Analysis, ORA）汇总结果