The quest for analyzing ever growing volumes of molecular biological data has been a prominent endeavor for bioinformatics for decades. With the advances in sequencing technology, more abundant omics data became accessible. This was accompanied by progress in bioinformatics methodology, to study these data more efficiently. This thesis is dedicated to developing bioinformatics approaches to analyze and manage large-scale genome, proteome and variome data for functional genomics and population genetics studies.