Literature DB >> 17463026

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

Bruno A Gaëta1, Harald R Malming, Katherine J L Jackson, Michael E Bain, Patrick Wilson, Andrew M Collins.   

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/.

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Year:  2007        PMID: 17463026     DOI: 10.1093/bioinformatics/btm147

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  69 in total

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2.  De novo identification of VRC01 class HIV-1-neutralizing antibodies by next-generation sequencing of B-cell transcripts.

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Journal:  Proc Natl Acad Sci U S A       Date:  2013-10-08       Impact factor: 11.205

3.  Change-O: a toolkit for analyzing large-scale B cell immunoglobulin repertoire sequencing data.

Authors:  Namita T Gupta; Jason A Vander Heiden; Mohamed Uduman; Daniel Gadala-Maria; Gur Yaari; Steven H Kleinstein
Journal:  Bioinformatics       Date:  2015-06-10       Impact factor: 6.937

Review 4.  Old questions, new tools: does next-generation sequencing hold the key to unraveling intestinal B-cell responses?

Authors:  O Pabst; H Hazanov; R Mehr
Journal:  Mucosal Immunol       Date:  2014-11-12       Impact factor: 7.313

5.  Automated analysis of high-throughput B-cell sequencing data reveals a high frequency of novel immunoglobulin V gene segment alleles.

Authors:  Daniel Gadala-Maria; Gur Yaari; Mohamed Uduman; Steven H Kleinstein
Journal:  Proc Natl Acad Sci U S A       Date:  2015-02-09       Impact factor: 11.205

Review 6.  The evolution within us.

Authors:  Sarah Cobey; Patrick Wilson; Frederick A Matsen
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7.  Human responses to influenza vaccination show seroconversion signatures and convergent antibody rearrangements.

Authors:  Katherine J L Jackson; Yi Liu; Krishna M Roskin; Jacob Glanville; Ramona A Hoh; Katie Seo; Eleanor L Marshall; Thaddeus C Gurley; M Anthony Moody; Barton F Haynes; Emmanuel B Walter; Hua-Xin Liao; Randy A Albrecht; Adolfo García-Sastre; Javier Chaparro-Riggers; Arvind Rajpal; Jaume Pons; Birgitte B Simen; Bozena Hanczaruk; Cornelia L Dekker; Jonathan Laserson; Daphne Koller; Mark M Davis; Andrew Z Fire; Scott D Boyd
Journal:  Cell Host Microbe       Date:  2014-06-26       Impact factor: 21.023

8.  pRESTO: a toolkit for processing high-throughput sequencing raw reads of lymphocyte receptor repertoires.

Authors:  Jason A Vander Heiden; Gur Yaari; Mohamed Uduman; Joel N H Stern; Kevin C O'Connor; David A Hafler; Francois Vigneault; Steven H Kleinstein
Journal:  Bioinformatics       Date:  2014-03-10       Impact factor: 6.937

9.  SoDA2: a Hidden Markov Model approach for identification of immunoglobulin rearrangements.

Authors:  Supriya Munshaw; Thomas B Kepler
Journal:  Bioinformatics       Date:  2010-02-09       Impact factor: 6.937

10.  Clustering-based identification of clonally-related immunoglobulin gene sequence sets.

Authors:  Zhiliang Chen; Andrew M Collins; Yan Wang; Bruno A Gaëta
Journal:  Immunome Res       Date:  2010-09-27
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