About: PoSeiDon: a Nextflow pipeline for the detection of evolutionary recombination events and positive selection

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	PoSeiDon: a Nextflow pipeline for the detection of evolutionary recombination events and positive selection
Creator	Hölzer, Martin Marz, Manja
Source	BioRxiv
abstract	Summary PoSeiDon is an easy-to-use pipeline that helps researchers to find recombination events and sites under positive selection in protein-coding sequences. By entering homologous sequences, PoSeiDon builds an alignment, estimates a best-fitting substitution model, and performs a recombination analysis followed by the construction of all corresponding phylogenies. Finally, significantly positive selected sites are detected according to different models for the full alignment and possible recombination fragments. The results of PoSeiDon are summarized in a user-friendly HTML page providing all intermediate results and the graphical representation of recombination events and positively selected sites. Availability and implementation PoSeiDon is freely available at https://github.com/hoelzer/poseidon. The pipeline is implemented in Nextflow with Docker support and processes the output of various tools. Contact hoelzer.martin@gmail.com
has issue date	2020-05-20(xsd:dateTime)
bibo:doi	10.1101/2020.05.18.102731
has license	biorxiv
sha1sum (hex)	bce116dd6608b571784241a4b2da8e177da9c6ac
schema:url	https://doi.org/10.1101/2020.05.18.102731
resource representing a document's title	PoSeiDon: a Nextflow pipeline for the detection of evolutionary recombination events and positive selection
schema:publication	bioRxiv
resource representing a document's body	covid:bce116dd6608b571784241a4b2da8e177da9c6ac#body_text
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