4.7 Article

Liftoff: accurate mapping of gene annotations

期刊

BIOINFORMATICS
卷 37, 期 12, 页码 1639-1643

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OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btaa1016

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资金

  1. National Institutes of Health [R01HG006677, R35-GM130151]

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Advancements in DNA sequencing and computational methods have led to a significant increase in high-quality genome assemblies for many species. To annotate gene features in these genomes, a common strategy is to map genes from a previously annotated reference genome to new or improved assemblies. The tool Liftoff can accurately map genes between the same or closely related species, ensuring high sequence identity and preserving gene structure.
Motivation: Improvements in DNA sequencing technology and computational methods have led to a substantial increase in the creation of high-quality genome assemblies of many species. To understand the biology of these genomes, annotation of gene features and other functional elements is essential; however, for most species, only the reference genome is well-annotated. Results: One strategy to annotate new or improved genome assemblies is to map or 'lift over' the genes from a previously annotated reference genome. Here, we describe Liftoff, a new genome annotation lift-over tool capable of mapping genes between two assemblies of the same or closely related species. Liftoff aligns genes from a reference genome to a target genome and finds the mapping that maximizes sequence identity while preserving the structure of each exon, transcript and gene. We show that Liftoff can accurately map 99.9% of genes between two versions of the human reference genome with an average sequence identity >99.9%. We also show that Liftoff can map genes across species by successfully lifting over 98.3% of human protein-coding genes to a chimpanzee genome assembly with 98.2% sequence identity.

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