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Sequence analysis with Stata

Author

Listed:
  • Christian Brzinsky-Fay

    (Wissenschaftszentrum Berlin)

  • Ulrich Kohler

    (Wissenschaftszentrum Berlin)

  • Magdalena Luniak

    (Wissenschaftszentrum Berlin)

Abstract

We describe a general strategy to analyze sequence data and introduce SQ-Ados, a bundle of Stata programs implementing the proposed strategy. The programs include several tools for describing and visualizing sequences as well as a Mata library to perform optimal matching using the Needleman – Wunsch algorithm. With these programs Stata becomes the first statistical package to offer a complete set of tools for sequence analysis. Copyright 2006 by StataCorp LP.

Suggested Citation

  • Christian Brzinsky-Fay & Ulrich Kohler & Magdalena Luniak, 2006. "Sequence analysis with Stata," Stata Journal, StataCorp LP, vol. 6(4), pages 435-460, December.
    • Handle: RePEc:tsj:stataj:v:6:y:2006:i:4:p:435-460
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    References listed on IDEAS

    as
    1. Nicholas J. Cox, 2004. "Stata tip 12: Tuning the plot region aspect ratio," Stata Journal, StataCorp LP, vol. 4(3), pages 357-358, September.
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    2. Nicholas J. Cox, 2004. "Stata tip 15: Function graphs on the fly," Stata Journal, StataCorp LP, vol. 4(4), pages 488-489, December.

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