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nf-LO: A Scalable, Containerized Workflow for Genome-to-Genome Lift Over
The increasing availability of new genome assemblies often comes with a paucity of associated genomic annotations, limiting the range of studies that can be performed. A common workaround is to lift over annotations from better annotated genomes. However, generating the files required to perform a l...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8412297/ https://www.ncbi.nlm.nih.gov/pubmed/34383887 http://dx.doi.org/10.1093/gbe/evab183 |
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author | Talenti, Andrea Prendergast, James |
author_facet | Talenti, Andrea Prendergast, James |
author_sort | Talenti, Andrea |
collection | PubMed |
description | The increasing availability of new genome assemblies often comes with a paucity of associated genomic annotations, limiting the range of studies that can be performed. A common workaround is to lift over annotations from better annotated genomes. However, generating the files required to perform a lift over is computationally and labor intensive and only a limited number are currently publicly available. Here we present nf-LO (nextflow-LiftOver), a containerized and scalable Nextflow pipeline that enables lift overs within and between any species for which assemblies are available. nf-LO will consequently facilitate data interpretation across a broad range of genomic studies. |
format | Online Article Text |
id | pubmed-8412297 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-84122972021-09-03 nf-LO: A Scalable, Containerized Workflow for Genome-to-Genome Lift Over Talenti, Andrea Prendergast, James Genome Biol Evol Letter The increasing availability of new genome assemblies often comes with a paucity of associated genomic annotations, limiting the range of studies that can be performed. A common workaround is to lift over annotations from better annotated genomes. However, generating the files required to perform a lift over is computationally and labor intensive and only a limited number are currently publicly available. Here we present nf-LO (nextflow-LiftOver), a containerized and scalable Nextflow pipeline that enables lift overs within and between any species for which assemblies are available. nf-LO will consequently facilitate data interpretation across a broad range of genomic studies. Oxford University Press 2021-08-12 /pmc/articles/PMC8412297/ /pubmed/34383887 http://dx.doi.org/10.1093/gbe/evab183 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Letter Talenti, Andrea Prendergast, James nf-LO: A Scalable, Containerized Workflow for Genome-to-Genome Lift Over |
title | nf-LO: A Scalable, Containerized Workflow for Genome-to-Genome Lift Over |
title_full | nf-LO: A Scalable, Containerized Workflow for Genome-to-Genome Lift Over |
title_fullStr | nf-LO: A Scalable, Containerized Workflow for Genome-to-Genome Lift Over |
title_full_unstemmed | nf-LO: A Scalable, Containerized Workflow for Genome-to-Genome Lift Over |
title_short | nf-LO: A Scalable, Containerized Workflow for Genome-to-Genome Lift Over |
title_sort | nf-lo: a scalable, containerized workflow for genome-to-genome lift over |
topic | Letter |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8412297/ https://www.ncbi.nlm.nih.gov/pubmed/34383887 http://dx.doi.org/10.1093/gbe/evab183 |
work_keys_str_mv | AT talentiandrea nfloascalablecontainerizedworkflowforgenometogenomeliftover AT prendergastjames nfloascalablecontainerizedworkflowforgenometogenomeliftover |