Figures & data
Figure 1. Data processing and web design of tRic. a. Summary of clinical information across 31 human cancer types in tRic. Full names of cancer type are listed in . b. Data collection and processing of tRic dataset, including miRNAseq, tRNA annotation and human coding sequences (CDS). QC denotes quantify control. c. Interface and infrastructure of tRic.
Figure 2. Overview of tRic database. a. Four modules in tRic: expression of tRNs at tRNA level, codon level, and amino acid level, respectively, as well as codon usage. b. Differentially expressed tRNAs between tumour and normal samples. c. Expression of tRNA associated with patient survival. d. Differentially expressed codons among different stages. e. Differentially expressed codons among different subtypes. f. Differentially expressed amino acids among patients with different smoking histories. g. Differentially expressed amino acids among different tumour grades. h. Amino acid frequency of human SRSF2 gene.
Table 1. Summary of tRic data for each cancer type.
