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 new sequences experimentally discovered and discuss the legal issues related to using QSAR and in general Bioinformatics models in real research and development problems in Plant Genomics. From this book it is possible to conclude that MARCH-INSIDE models may be applied in Plant Genomics and Biotechnology to find new interesting enzymes without relying upon alignment techniques.