High-throughput sequencing and automated analysis of immunoglobulin genes: Life without a template

被引:0
|
作者
Michaeli, Miri [1 ]
Barak, Michal [1 ]
Hazanov, Lena [1 ]
Noga, Hila [1 ]
Mehr, Ramit [1 ]
机构
[1] Bar Ilan Univ, Mina & Everard Goodman Fac Life Sci, IL-52900 Ramat Gan, Israel
关键词
DETECTING SELECTION; REPERTOIRE; ALIGNMENT; MEMORY;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Immunoglobulin (that is, antibody) and T cell receptor genes are created through somatic gene rearrangement from gene segment libraries. Immunoglobulin genes are further diversified by somatic hypermutation and selection during the immune response. Studying the repertoires of these genes yields valuable insights into immune system function in infections, aging, autoimmune diseases and cancers. The introduction of high throughput sequencing has generated unprecedented amounts of repertoire and mutation data from immunoglobulin genes. However, common analysis programs are not appropriate for pre-processing and analyzing these data due to the lack of a template or reference gene. We present here the automated analysis pipeline we created for this purpose, which integrates various software packages of our own development and others', and demonstrate its performance.
引用
收藏
页码:19 / 26
页数:8
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