nf-LO: A Scalable, Containerized Workflow for Genome-to-Genome Lift Over
Author(s) -
Andrea Talenti,
James Prendergast
Publication year - 2021
Publication title -
genome biology and evolution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.702
H-Index - 74
ISSN - 1759-6653
DOI - 10.1093/gbe/evab183
Subject(s) - lift (data mining) , workaround , genome , workflow , scalability , biology , computational biology , computer science , pipeline (software) , limiting , genetics , database , gene , data mining , engineering , operating system , mechanical engineering
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.
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