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

Bruno Gaëta | Zendy; Harald R. Malming | Zendy; Katherine Jackson | Zendy; Michael Bain | Zendy; Patrick C. Wilson | Zendy; Andrew M. Collins | Zendy

Open Access

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

Author(s) -

Bruno Gaëta,

Harald R. Malming,

Katherine Jackson,

Michael Bain,

Patrick C. Wilson,

Andrew M. Collins

Publication year - 2007

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btm147

Subject(s) - ighv@ , germline , genetics , biology , gene , computational biology , identification (biology) , immunoglobulin heavy chain , germline mutation , ighd , mutation , botany , chronic lymphocytic leukemia , leukemia , growth hormone , biochemistry , hormone , growth hormone deficiency

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.

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