Kourami

Kourami reconstructs HLA allele sequences and performs high-resolution typing of classical human leukocyte antigen (HLA) genes from high-coverage whole-genome sequencing (WGS) data to enable accurate typing and discovery of novel alleles.


Key Features:

  • Graph-Guided Assembly: Employs a graph-guided assembly technique tailored to classical HLA genes to construct allele sequences from high-coverage whole-genome sequencing data.
  • Novel Allele Discovery: Identifies and types alleles absent from existing allele databases, enabling discovery of novel HLA alleles.
  • High Accuracy: Produces high-resolution HLA typing with accuracy comparable to state-of-the-art methods for both known and uncharacterized alleles.

Scientific Applications:

  • Clinical Immunogenetics: Provides precise HLA genotypes for organ transplantation matching and studies of autoimmune disease.
  • Research: Facilitates investigations of immune response mechanisms and genetic associations by supplying assembled HLA allele sequences.

Methodology:

Kourami uses a graph-based framework that integrates high-coverage whole-genome sequencing data to perform guided assembly of HLA allele sequences and to enable typing independent of existing allele databases.

Topics

Details

License:
BSD-3-Clause
Tool Type:
command-line tool
Operating Systems:
Linux
Programming Languages:
Shell, Java
Added:
8/16/2018
Last Updated:
12/10/2018

Operations

Publications

Lee H, Kingsford C. Kourami: graph-guided assembly for novel human leukocyte antigen allele discovery. Genome Biology. 2018;19(1). doi:10.1186/s13059-018-1388-2. PMID:29415772. PMCID:PMC5804087.

Funding: - Gordon and Betty Moore Foundation: GBMF4554 - Division of Computing and Communication Foundations: CCF-1256087, CCF-1319998 - National Human Genome Research Institute: R01HG007104

Documentation