SeqAn: An efficient, generic C++ library for sequence analysis
2008

SeqAn: A C++ Library for Sequence Analysis

publication Evidence: high

Author Information

Author(s): Döring Andreas, Weese David, Rausch Tobias, Reinert Knut

Primary Institution: Algorithmische Bioinformatik, Institut für Informatik, Berlin, Germany

Hypothesis

SeqAn provides an efficient and generic library for sequence analysis in computational biology.

Conclusion

SeqAn simplifies the development of new bioinformatics tools by offering a collection of well-designed algorithmic components.

Supporting Evidence

  • SeqAn provides efficient data types and algorithms for sequence analysis.
  • The library allows for rapid prototyping of bioinformatics tools.
  • SeqAn's performance is competitive with existing libraries.
  • It supports various biological alphabets and file formats.
  • SeqAn can handle large-scale genomic data efficiently.

Takeaway

SeqAn is like a toolbox for scientists that helps them analyze DNA and proteins quickly and easily. It has many tools that work well together.

Methodology

The library was developed using generic programming principles to ensure high performance and flexibility.

Limitations

The library may not cover all specific needs of bioinformatics, as it is still under development.

Digital Object Identifier (DOI)

10.1186/1471-2105-9-11

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