The human genome contains approximately 20,000 protein-coding genes. The number of protein-coding genes expressed is not static; it varies according to the tissue, cell type, and developmental stage. An additional significant issue is the alternative spliced transcript isoforms, which contribute to the complexity of expressed genes. It is estimated that human protein-coding genes have more than eight alternative transcripts; however, not all of these transcripts are protein-coding. Understanding the expression profiles of alternative transcript isoforms for protein-coding genes is essential for identifying the final translated peptide products. A bioinformatic tool was developed to depict the tissue expression profiles of predominant protein-coding transcripts utilizing a long-read NGS dataset (GSE192955), encompassing 30 human tissue types, including two fetal brain tissues. In our finding, the long-read NGS dataset provides stronger evidence that protein-coding genes produce dominant peptide products.