SeqAn is an open source C++ library of efficient algorithms and data structures for the analysis of sequences with the focus on biological data. Our library applies a unique generic design that guarantees high performance, generality, extensibility, and integration with other libraries. SeqAn is easy to use and simplifies the development of new software tools with a minimal loss of performance.
Intel regards SeqAn as a very promising software package that has all the right ingredients to considerably speed up Next Generation Sequencing analysis on modern Intel processors. We are looking forward to collaborating with Professor Reinert and his team to add our technical know-how about Intel® Architecture and combine it with his algorithmic expertise, and in this way turn SeqAn into a premier software tool in this domain of rapidly growing importance.
Kristina Kermanshahche Chief Architect, Intel® Health & Life Sciences Intel®
If you publish software that uses SeqAn, please do not forget to cite:
K. Reinert, T. H. Dadi, M. Ehrhardt, H. Hauswedell, S. Mehringer, R. Rahn, J. Kim, C. Pockrandt, J. Winkler, E. Siragusa, G. Urgese, and D. Weese. The seqan c++ template library for efficient sequence analysis: a resource for programmers. Journal of biotechnology, vol. 261, pp. 157-168, 2017.