The world of data is changing. Big Data and NOSQL are bringing new ways of looking at and understanding your data. Prominent in the trend is Neo4j, a graph database that elevates relationships to first-class citizens, uniquely offering a way to model and query highly connected data.

This opens a whole new world of possibilities for a wide range of fields, and bioinformatics is no exception.... [read more]

The world of data is changing. Big Data and NOSQL are bringing new ways of looking at and understanding your data. Prominent in the trend is Neo4j, a graph database that elevates relationships to first-class citizens, uniquely offering a way to model and query highly connected data.

This opens a whole new world of possibilities for a wide range of fields, and bioinformatics is no exception. Quite the opposite, this paradigm provides bioinformaticians with a powerful and intuitive framework for dealing with biological data which by nature is incredibly interconnected.

We'll give a quick overview of the NOSQL world today, introducing then Neo4j in particular. Afterwards we'll move to real use cases focusing in Bio4j project.