Human protein-coding genes and gene feature statistics in 2019.

Area of Science:

• Genomics
• Bioinformatics

Background:

• Genome browsers lack searchable databases for managing numerical gene data.
• Increasing genomic data necessitates regular content revision and analysis.

Purpose of the Study:

• To develop a searchable database of human nuclear protein-coding gene data.
• To provide updated 2019 gene, transcript, and organization data for analysis.

Main Methods:

• Utilized GeneBase software with a graphical interface.
• Imported and processed data from the National Center for Biotechnology Information (NCBI) Gene database.

Main Results:

• Identified 19,116 human nuclear protein-coding genes.
• Documented a 10.1% increase in protein-coding transcriptome space (59,281,518 bp).
• Observed a 36.2% increase in exons (562,164) due to more RNA isoforms; gene and exon lengths show stability.

Conclusions:

• GeneBase offers a structured approach to managing and analyzing human genomic data.
• Human nuclear protein-coding gene parameters, particularly lengths, have stabilized.
• Confirmed no human introns shorter than 30 base pairs.