The March-Inside approach is a computational method that can be used to seek Quantitative Structure-Property Relationships (QSAR) models in genes and their product RNA and/or proteins without to rely upon sequence alignment. This book reviews previous applications of March-Inside predict the function of fresh sequences experimentally discovered.