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Cited by 373

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Sequence Analysis with Stata

Open access
Brzinsky-Fay, Christian, Kohler, Ulrich, Luniak, Magdalena·2006·The Stata Journal: Promoting communications on statistics and Stata
DOI 10.1177/1536867x0600600401
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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.

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Metadata

Authors
Brzinsky-Fay, C., Kohler, U., & Luniak, M.
Venue
The Stata Journal: Promoting communications on statistics and Stata
Publisher
SAGE Publications
Published
2006-11
Volume
6
Issue
4
Pages
435-460
ISSN
  • 1536-867X (ISSN-L)
  • 1536-8734
DOI
10.1177/1536867x0600600401
OpenAlex
W2136874711
Cited by
373
References
10
FWCI
5.19
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Sequence Analysis with Stata. https://app.cochat.ai/papers/10.1177/1536867x0600600401
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Brzinsky-Fay, C., Kohler, U., & Luniak, M. (2006). Sequence Analysis with Stata. The Stata Journal: Promoting communications on statistics and Stata. https://doi.org/10.1177/1536867x0600600401

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.