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Filtering next-generation sequencing of the Ig gene repertoire data using antibody structural information

Abstract:

Next-generation sequencing of the immunoglobulin gene repertoire (Ig-seq) produces large volumes of information at the nucleotide sequence level. Such data have improved our understanding of immune systems across numerous species and have already been successfully applied in vaccine development and drug discovery. However, the high-throughput nature of Ig-seq means that it is afflicted by high error rates. This has led to the development of error correction approaches. Computational error cor...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.4049/jimmunol.1800669

Authors


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Institution:
University of Oxford
Oxford college:
St Hugh's College
Role:
Author
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Institution:
University of Oxford
Division:
MPLS
Department:
Statistics
Oxford college:
Kellogg College
Role:
Author
ORCID:
0000-0003-1388-2252
UCB Pharma Ltd More from this funder
Publisher:
American Association of Immunologists Publisher's website
Journal:
Journal of Immunology Journal website
Volume:
201
Issue:
12
Pages:
3694-3704
Publication date:
2018-12-10
Acceptance date:
2018-10-04
DOI:
EISSN:
1550-6606
ISSN:
0022-1767
Source identifiers:
924764
Pubs id:
pubs:924764
UUID:
uuid:6a491a1f-a95f-49b1-8741-428cc4d35fc8
Local pid:
pubs:924764
Deposit date:
2018-10-08

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