Before revision:  We show that Shannon's information entropy, Kolmogorov complexity and algorithmic probability quantify different aspects of  biological networks at the interplay of local and global pattern detection  .
After revision:  We show that Shannon's information entropy, Kolmogorov complexity and algorithmic probability quantify different aspects of biological networks at the intersection of local (e.g. graph motifs) and global pattern detection .