Computer Extraction and Analysis of Genomic DNA of Mustard Plant

Abstract

Brassica juncea, a plant of the family Brassica, has high economic, medicinal and nutritional value and is an important subject of genomic research. With the development of bioinformatics and gene editing technologies, this study screened and annotated key gene sequences in the genome of Brassica juncea using platforms such as Gensas. Computational modeling enables researchers to predict gene function and protein structure without relying solely on experimental methods, greatly improving efficiency. The predictive power of these models is highly dependent on the availability of homologous data and must be rigorously validated with error thresholds considered. In addition, tools such as BLAST and UniProt were used for functional analysis and protein sequence alignment. Studies have shown that the addition of structural data can significantly improve the reliability of prediction models. Ultimately, this study helps to deepen the understanding of gene function and pave the way for advances in plant breeding, drug development, and biotechnology applications.