CITATION.cff

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cff-version: 1.2.0
title: GFE Search Generator
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Katrina
    family-names: Eaton
    email: katrina.eaton@ucsf.edu
    affiliation: 'University of California, San Francisco'
identifiers:
  - type: url
    value: 'https://github.com/kaeaton/GSG-Kotlin'
    description: >-
      The Gene Feature Enumeration (GFE) Search
      Generator
repository-code: 'https://github.com/kaeaton/GSG-Kotlin'
abstract: >-
  There are currently 24,009 known variants (alleles)
  of the Human Leukocyte Antigen genes, which are key
  to transplant success or failure, with new alleles
  being discovered and “named” every day. The current
  names give very little information about the
  structure of the proteins encoded by these genes,
  and, in 2015, Dr. Steven Mack proposed a new naming
  convention called Gene Feature Enumeration (GFE),
  designed to create machine-readable names. New
  tools are required to use the new GFE naming
  convention, including the ability to (1) switch
  between the allele names and the GFE names, (2)
  search across GFE names, and (3) assign GFE names
  to new alleles. In this thesis, I describe the GFE
  Search Generator, a tool designed to make allele
  identification using GFE names easier for research
  purposes. This will enable better matches between
  patients and donors for transplant purposes and
  will assist in research about autoimmune diseases.
keywords:
  - GFE
  - Gene Feature Enumeration
  - HLA
  - Human Leukocyte Antigen
  - KIR
  - Killer Immunoglobulin-like Receptor
  - Bioinformatics
license: GPL-3.0