iHMMune-align: hidden Markov model-based alignment and identification of germline genes in rearranged immunoglobulin gene sequences

Bioinformatics. 2007 Jul 1;23(13):1580-7. doi: 10.1093/bioinformatics/btm147. Epub 2007 Apr 26.

Abstract

Motivation: Immunoglobulin heavy chain (IGH) genes in mature B lymphocytes are the result of recombination of IGHV, IGHD and IGHJ germline genes, followed by somatic mutation. The correct identification of the germline genes that make up a variable VH domain is essential to our understanding of the process of antibody diversity generation as well as to clinical investigations of some leukaemias and lymphomas.

Results: We have developed iHMMune-align, an alignment program that uses a hidden Markov model (HMM) to model the processes involved in human IGH gene rearrangement and maturation. The performance of iHMMune-align was compared to that of other immunoglobulin gene alignment utilities using both clonally related and randomly selected IGH sequences. This evaluation suggests that iHMMune-align provides a more accurate identification of component germline genes than other currently available IGH gene characterization programs.

Availability: iHMMune-align cross-platform Java executable and web interface are freely available to academic users and can be accessed at http://www.emi.unsw.edu.au/~ihmmune/.

MeSH terms

  • Algorithms
  • Amino Acid Sequence
  • Computer Simulation
  • Gene Rearrangement / genetics*
  • Genes, Immunoglobulin*
  • Germ-Line Mutation / genetics*
  • Germ-Line Mutation / immunology*
  • Immunoglobulins / genetics*
  • Markov Chains
  • Models, Genetic
  • Models, Immunological
  • Molecular Sequence Data
  • Sequence Alignment / methods*
  • Sequence Analysis, Protein / methods
  • Software*

Substances

  • Immunoglobulins