Add like
Add dislike
Add to saved papers

pipesnake: Generalized software for the assembly and analysis of phylogenomic datasets from conserved genomic loci.

Bioinformatics 2024 April 11
MOTIVATION: Phylogenetics has moved into the era of genomics, incorporating enormous volumes of data to study questions at both shallow and deep scales. With this increase in information, phylogeneticists need new tools and skills to manipulate and analyze these data. To facilitate these tasks and encourage reproducibility, the community is increasingly moving towards automated workflows.

RESULTS: Here we present pipesnake, a phylogenomics pipeline written in Nextflow for the processing, assembly, and phylogenetic estimation of genomic data from short-read sequences. pipesnake is an easy to use and efficient software package designed for this next era in phylogenetics.

AVAILABILITY: pipesnake is publicly available on GitHub at https://github.com/AusARG/pipesnake and accompanied by documentation and a wiki/tutorial.

SUPPLEMENTARY INFORMATION: Written in Nextflow, the pipeline is containerized and deployable via Docker, Singularity, and Conda making it easy to run on different compute infrastructures.

Full text links

We have located links that may give you full text access.
Can't access the paper?
Try logging in through your university/institutional subscription. For a smoother one-click institutional access experience, please use our mobile app.

Related Resources

For the best experience, use the Read mobile app

Mobile app image

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app

All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.

By using this service, you agree to our terms of use and privacy policy.

Your Privacy Choices Toggle icon

You can now claim free CME credits for this literature searchClaim now

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app