UniqTag: Content-Derived Unique and Stable Identifiers for Gene Annotation

Area of Science:

• Genomics
• Bioinformatics

Background:

• Gene identifiers frequently change between genome assembly builds, complicating long-term research and data tracking.
• Existing methods for managing identifier changes often require complex sequence alignment and annotation lifting.

Purpose of the Study:

• To introduce UniqTag, a novel gene labelling system designed to provide stable identifiers across different genome assemblies.
• To demonstrate the stability and utility of UniqTag in managing gene annotations over time.

Main Methods:

• UniqTag assigns a unique identifier to each gene based on a representative k-mer derived from its sequence.
• The system was tested by assigning UniqTag identifiers to ten builds of the Ensembl human genome over an eight-year period.

Main Results:

• UniqTag identifiers proved stable across multiple genome assembly versions, eliminating the need for re-annotation or sequence alignment.
• The stability was validated using extensive human genome data, showcasing its practical applicability.

Conclusions:

• UniqTag offers a robust solution for maintaining consistent gene identifiers in dynamic genome sequencing projects.
• This system enhances data reproducibility and facilitates long-term genomic data analysis and integration.