SANS serif: alignment-free, whole-genome based phylogenetic reconstruction

Rempel A, Wittler R (2021)
Bioinformatics 37(24): 4868–4870.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
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Abstract / Bemerkung
**Summary** SANS serif is a novel software for alignment-free, whole-genome based phylogeny estimation that follows a pangenomic approach to efficiently calculate a set of splits in a phylogenetic tree or network. **Availability and Implementation** Implemented in C ++ and supported on Linux, MacOS, and Windows. The source code is freely available for download at https://gitlab.ub.uni-bielefeld.de/gi/sans. **Supplementary information** Supplementary data are available at Bioinformatics online.
Erscheinungsjahr
2021
Zeitschriftentitel
Bioinformatics
Band
37
Ausgabe
24
Seite(n)
4868–4870
ISSN
1367-4803
eISSN
1460-2059
Page URI
https://pub.uni-bielefeld.de/record/2955595

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Rempel A, Wittler R. SANS serif: alignment-free, whole-genome based phylogenetic reconstruction. Bioinformatics. 2021;37(24):4868–4870.
Rempel, A., & Wittler, R. (2021). SANS serif: alignment-free, whole-genome based phylogenetic reconstruction. Bioinformatics, 37(24), 4868–4870. https://doi.org/10.1093/bioinformatics/btab444
Rempel, Andreas, and Wittler, Roland. 2021. “SANS serif: alignment-free, whole-genome based phylogenetic reconstruction”. Bioinformatics 37 (24): 4868–4870.
Rempel, A., and Wittler, R. (2021). SANS serif: alignment-free, whole-genome based phylogenetic reconstruction. Bioinformatics 37, 4868–4870.
Rempel, A., & Wittler, R., 2021. SANS serif: alignment-free, whole-genome based phylogenetic reconstruction. Bioinformatics, 37(24), p 4868–4870.
A. Rempel and R. Wittler, “SANS serif: alignment-free, whole-genome based phylogenetic reconstruction”, Bioinformatics, vol. 37, 2021, pp. 4868–4870.
Rempel, A., Wittler, R.: SANS serif: alignment-free, whole-genome based phylogenetic reconstruction. Bioinformatics. 37, 4868–4870 (2021).
Rempel, Andreas, and Wittler, Roland. “SANS serif: alignment-free, whole-genome based phylogenetic reconstruction”. Bioinformatics 37.24 (2021): 4868–4870.
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PMID: 34132752
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Preprint: 10.1101/2020.12.31.424643

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