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cual-id: Globally Unique, Correctable, and Human-Friendly Sample Identifiers for Comparative Omics Studies.

John H Chase1, Evan Bolyen1, Jai Ram Rideout1

  • 1Center for Microbial Genetics and Genomics, Northern Arizona University, Flagstaff, Arizona, USA.

Msystems
|November 9, 2016
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Summary

A new tool, cual-id, generates globally unique and human-friendly sample identifiers for high-throughput omics studies. This system improves data integrity and simplifies sample tracking without central infrastructure.

Keywords:
bioinformaticsgenomesmetabolomemetagenomemicrobiometranscriptome

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Area of Science:

  • Bioinformatics
  • Genomics
  • Proteomics

Background:

  • High-throughput omics studies generate vast amounts of sample data.
  • Current sample identification methods struggle with scalability and data integrity.
  • Need for robust, globally unique, and manageable sample identifiers.

Purpose of the Study:

  • Introduce cual-id, a command-line tool for minting sample identifiers.
  • Address the need for globally unique, short, correctable, and opaque identifiers.
  • Facilitate efficient and accurate sample tracking in large-scale omics research.

Main Methods:

  • cual-id generates universally unique identifiers (UUIDs) for global uniqueness.
  • It also creates shorter, human-friendly "CualIDs" (4-12 characters) for manual use.
  • Optionally generates printable barcode labels (Code 128) for samples.

Main Results:

  • cual-id provides identifiers that are globally unique, project-unique, short, and correctable.
  • The system does not require centralized infrastructure for global uniqueness.
  • Facilitates easy manual transcription and computer referencing of samples.

Conclusions:

  • cual-id enhances sample tracking and data integrity in comparative omics.
  • Reduces errors and costs associated with updating identifiers in centralized systems.
  • Enables labs to adopt standardized, robust sample identification within existing infrastructure.