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>