Advances in Gene Function Prediction

Gene function prediction is the process of determining the biological roles or functions of genes based on their sequences, structures, and interactions. This process is crucial for understanding how genes contribute to cellular functions, diseases, and biological processes. Various computational methods, such as sequence homology, protein-protein interaction networks, and functional genomics data analysis, are used to infer gene functions. These predictions are validated through experimental techniques like gene knockout studies, RNA interference, and expression profiling. Advancements in high-throughput technologies and bioinformatics have accelerated the accuracy and scale of gene function predictions, facilitating discoveries in medicine, agriculture, and biotechnology. Gene function prediction continues to evolve with ongoing research, aiming to unlock the full potential of genomic information for understanding life processes and developing targeted therapies. This book elucidates new techniques and their applications in gene function prediction. The various researches along with technological progress that have future implications are glanced at in this book. Scientists and students actively engaged in this field will find this book full of crucial and unexplored concepts.