MS-BioGraphs: Sequence Similarity Graph Datasets

MS-BioGraphs are a family of sequence similarity graph datasets with up to 2.5 trillion edges. The graphs are weighted edges and presented in compressed WebGraph format. The dataset include symmetric and asymmetric graphs. The largest graph has been created by matching sequences in Metaclust dataset with 1.7 billion sequences. These real-world graph dataset are useful for measuring contributions in High-Performance Computing and High-Performance Graph Processing. Moreover, they  provide  a representation of the data   acts as a new source for extracting domain-specific information and knowledge by deploying graph algorithms.  Sequence similarity graphs have several usages in biology including sequence clustering,  predicting pseudo-gene functions, effective selection of conotoxins, predicting evolution  and gene transfer.