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Dataset . 2021

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Dataset . 2021

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Code and data associated with Christiansen et al. 2021 "Facilitating population genomics of non-model organisms through optimized experimental design for reduced representation sequencing"

Name: Code and data associated with Christiansen et al. 2021 "Facilitating population genomics of non-model organisms through optimized experimental design for reduced representation sequencing"
Keywords: Genotyping by Sequencing, Biodiversity, RADseq, Southern Ocean, in silico digestion, Genome Scan

Research datakeyboard_double_arrow_right Dataset 30 Jun 2021 English Zenodo

Authors: Christiansen, Henrik; Heindler, Franz M.; Hellemans, Bart; Jossart, Quentin; Pasotti, Francesca; Robert, Henri; Verheye, Marie; +9 Authors

doi: 10.5281/zenodo.5045573 , 10.5281/zenodo.5045574

Code and data associated with Christiansen et al. 2021 "Facilitating population genomics of non-model organisms through optimized experimental design for reduced representation sequencing"

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Abstract

All code and data input and output files (except reference genome and raw sequencing data) needed to reproduce the results of Christiansen et al. 2021 as released on https://github.com/notothen/radpilot alongside journal publication. See published paper: Christiansen, H., Heindler, F.M., Hellemans, B. et al. Facilitating population genomics of non-model organisms through optimized experimental design for reduced representation sequencing. BMC Genomics 22, 625 (2021). https://doi.org/10.1186/s12864-021-07917-3

Keywords

Genotyping by Sequencing, Biodiversity, RADseq, Southern Ocean, in silico digestion, Genome Scan

4 Research products, page 1 of 1

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Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average

Usage byUsageCounts

visibility	views	73
download	downloads	4

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average

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Code and data associated with Christiansen et al. 2021 "Facilitating population genomics of non-model organisms through optimized experimental design for reduced representation sequencing"

Code and data associated with Christiansen et al. 2021 "Facilitating population genomics of non-model organisms through optimized experimental design for reduced representation sequencing"

4 Research products, page 1 of 1

Application of Hierarchical enzyme classification method reveals the role gut microbiome in human metabolism

Sample dataset from RNA-Seq analysis of Ostreococcus tauri

Application of Hierarchical enzyme classification method reveals the role gut microbiome in human metabolism

Hierarchical enzyme classification method reveals the role of gut microbiome in human metabolism