Ksrates : positioning whole-genome duplications relative to speciation events in KS distributions
- Author
- Cecilia Sensalari (UGent) , Steven Maere (UGent) and Rolf Lohaus (UGent)
- Organization
- Abstract
- We present ksrates, a user-friendly command-line tool to position ancient whole-genome duplication events with respect to speciation events in a phylogeny by comparing paralog and ortholog K-S distributions derived from genomic or transcriptomic sequences, while adjusting for substitution rate differences among the lineages involved.
- Keywords
- Computational Mathematics, Computational Theory and Mathematics, Computer Science Applications, Molecular Biology, Biochemistry, Statistics and Probability, EVOLUTION, HISTORY, PALEOPOLYPLOIDY
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8721796
- MLA
- Sensalari, Cecilia, et al. “Ksrates : Positioning Whole-Genome Duplications Relative to Speciation Events in KS Distributions.” BIOINFORMATICS, edited by Peter Robinson, vol. 38, no. 2, 2022, pp. 530–32, doi:10.1093/bioinformatics/btab602.
- APA
- Sensalari, C., Maere, S., & Lohaus, R. (2022). Ksrates : positioning whole-genome duplications relative to speciation events in KS distributions. BIOINFORMATICS, 38(2), 530–532. https://doi.org/10.1093/bioinformatics/btab602
- Chicago author-date
- Sensalari, Cecilia, Steven Maere, and Rolf Lohaus. 2022. “Ksrates : Positioning Whole-Genome Duplications Relative to Speciation Events in KS Distributions.” Edited by Peter Robinson. BIOINFORMATICS 38 (2): 530–32. https://doi.org/10.1093/bioinformatics/btab602.
- Chicago author-date (all authors)
- Sensalari, Cecilia, Steven Maere, and Rolf Lohaus. 2022. “Ksrates : Positioning Whole-Genome Duplications Relative to Speciation Events in KS Distributions.” Ed by. Peter Robinson. BIOINFORMATICS 38 (2): 530–532. doi:10.1093/bioinformatics/btab602.
- Vancouver
- 1.Sensalari C, Maere S, Lohaus R. Ksrates : positioning whole-genome duplications relative to speciation events in KS distributions. Robinson P, editor. BIOINFORMATICS. 2022;38(2):530–2.
- IEEE
- [1]C. Sensalari, S. Maere, and R. Lohaus, “Ksrates : positioning whole-genome duplications relative to speciation events in KS distributions,” BIOINFORMATICS, vol. 38, no. 2, pp. 530–532, 2022.
@article{8721796,
abstract = {{We present ksrates, a user-friendly command-line tool to position ancient whole-genome duplication events with respect to speciation events in a phylogeny by comparing paralog and ortholog K-S distributions derived from genomic or transcriptomic sequences, while adjusting for substitution rate differences among the lineages involved.}},
author = {{Sensalari, Cecilia and Maere, Steven and Lohaus, Rolf}},
editor = {{Robinson, Peter}},
issn = {{1367-4803}},
journal = {{BIOINFORMATICS}},
keywords = {{Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability,EVOLUTION,HISTORY,PALEOPOLYPLOIDY}},
language = {{eng}},
number = {{2}},
pages = {{530--532}},
title = {{Ksrates : positioning whole-genome duplications relative to speciation events in KS distributions}},
url = {{http://doi.org/10.1093/bioinformatics/btab602}},
volume = {{38}},
year = {{2022}},
}
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