By definition, medical research is about dealing with large quantities of data. That’s even truer in the leading edges of the life sciences, where tackling the thorny issues in genomics and personalised treatments has to take place at the petabyte and increasingly the exabyte, rather the mere megabyte and gigabyte level in terms of promising dataset size. Neo Technology’s Emil Eifrem looks at how life science researchers can probe large datasets efficiently and expose new insights with the unique power of graph technology.