HSDecipher: A pipeline for comparative genomic analysis of highly similar duplicate genes in eukaryotic genomes

Xi Zhang, Yining Hu, Zhenyu Cheng, John M. Archibald

Résultat de recherche: Articleexamen par les pairs

3 Citations (Scopus)

Résumé

Many tools have been developed to measure the degree of similarity between gene duplicates within and between species. Here, we present HSDecipher, a bioinformatics pipeline to assist users in the analysis and visualization of highly similar duplicate genes (HSDs). We describe the steps for analysis of HSDs statistics, expanding HSD gene sets, and visualizing the results of comparative genomic analyses. HSDecipher represents a useful tool for researchers exploring the evolution of duplicate genes in select eukaryotic species. For complete details on the use and execution of this protocol, please refer to Zhang et al. (2021)1 and Zhang et al. (2022).2

Langue d'origineEnglish
Numéro d'article102014
JournalSTAR Protocols
Volume4
Numéro de publication1
DOI
Statut de publicationPublished - mars 17 2023

Note bibliographique

Funding Information:
This work was supported by a Gordon and Betty Moore Foundation grant ( GBMF5782 ) and a Discovery Grant from the Natural Sciences and Engineering Research Council of Canada ( RGPIN-2019- 05058 ) awarded to J.M.A. This work was also supported by a Discovery Grant ( RGPIN 04912 ) from the Natural Sciences and Engineering Research Council of Canada to Z.C. We thank David R. Smith for useful discussion of the manuscript.

Publisher Copyright:
© 2023 The Authors

ASJC Scopus Subject Areas

  • General Neuroscience
  • General Biochemistry,Genetics and Molecular Biology
  • General Immunology and Microbiology

PubMed: MeSH publication types

  • Journal Article

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Citer

Zhang, X., Hu, Y., Cheng, Z., & Archibald, J. M. (2023). HSDecipher: A pipeline for comparative genomic analysis of highly similar duplicate genes in eukaryotic genomes. STAR Protocols, 4(1), Article 102014. https://doi.org/10.1016/j.xpro.2022.102014