2014 April Meetup

Talk: "hPDB - fastest PDB parser is written in Haskell"

Speaker: Michał J. Gajda

Synopsis is taken from http://www.biomedcentral.com/1756-0500/6/483

Background

Protein DataBank file format is used for the majority of biomolecular data available today. Haskell is a lazy functional language that enjoys a high-level class-based type system, a growing collection of useful libraries and a reputation for efficiency.

Findings

I present a fast library for processing biomolecular data in the Protein Data Bank format. I present benchmarks indicating that this library is faster than other frequently used Protein Data Bank parsing programs. The proposed library also features a convenient iterator mechanism, and a simple API modeled after BioPython.

Conclusion

I set a new standard for convenience and efficiency of Protein Data Bank processing in a Haskell library, and release it to open source.