Reconstructing antibody repertoires from error-prone immunosequencing datasets

Alexander Shlemov; Sergey Bankevich; Andrey Bzikadze; Yana Safonova; Pavel A. Pevzner

Reconstructing antibody repertoires from error-prone immunosequencing datasets

Alexander Shlemov, Sergey Bankevich, Andrey Bzikadze, Yana Safonova, Pavel A. Pevzner

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English (US)
Title of host publication	Research in Computational Molecular Biology - 21st Annual International Conference, RECOMB 2017, Proceedings
Editors	S.Cenk Sahinalp
Publisher	Springer Verlag
Pages	396-397
Number of pages	2
ISBN (Print)	9783319569697
State	Published - 2017
Event	21st Annual International Conference on Research in Computational Molecular Biology, RECOMB 2017 - Hong Kong, China Duration: May 3 2017 → May 7 2017

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10229 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	21st Annual International Conference on Research in Computational Molecular Biology, RECOMB 2017
Country/Territory	China
City	Hong Kong
Period	5/3/17 → 5/7/17

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
General Computer Science

Cite this

Shlemov, A., Bankevich, S., Bzikadze, A., Safonova, Y., & Pevzner, P. A. (2017). Reconstructing antibody repertoires from error-prone immunosequencing datasets. In S. C. Sahinalp (Ed.), Research in Computational Molecular Biology - 21st Annual International Conference, RECOMB 2017, Proceedings (pp. 396-397). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10229 LNCS). Springer Verlag.

Shlemov, Alexander ; Bankevich, Sergey ; Bzikadze, Andrey et al. / Reconstructing antibody repertoires from error-prone immunosequencing datasets. Research in Computational Molecular Biology - 21st Annual International Conference, RECOMB 2017, Proceedings. editor / S.Cenk Sahinalp. Springer Verlag, 2017. pp. 396-397 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{d2fd10afdada48cfb36f023e12562f39,

title = "Reconstructing antibody repertoires from error-prone immunosequencing datasets",

author = "Alexander Shlemov and Sergey Bankevich and Andrey Bzikadze and Yana Safonova and Pevzner, {Pavel A.}",

note = "Funding Information: This project is supported by Russian Science Foundation (grant No 14-50-00069).; 21st Annual International Conference on Research in Computational Molecular Biology, RECOMB 2017 ; Conference date: 03-05-2017 Through 07-05-2017",

year = "2017",

language = "English (US)",

isbn = "9783319569697",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "396--397",

editor = "S.Cenk Sahinalp",

booktitle = "Research in Computational Molecular Biology - 21st Annual International Conference, RECOMB 2017, Proceedings",

address = "Germany",

}

Shlemov, A, Bankevich, S, Bzikadze, A, Safonova, Y & Pevzner, PA 2017, Reconstructing antibody repertoires from error-prone immunosequencing datasets. in SC Sahinalp (ed.), Research in Computational Molecular Biology - 21st Annual International Conference, RECOMB 2017, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10229 LNCS, Springer Verlag, pp. 396-397, 21st Annual International Conference on Research in Computational Molecular Biology, RECOMB 2017, Hong Kong, China, 5/3/17.

Reconstructing antibody repertoires from error-prone immunosequencing datasets. / Shlemov, Alexander; Bankevich, Sergey; Bzikadze, Andrey et al.
Research in Computational Molecular Biology - 21st Annual International Conference, RECOMB 2017, Proceedings. ed. / S.Cenk Sahinalp. Springer Verlag, 2017. p. 396-397 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10229 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Reconstructing antibody repertoires from error-prone immunosequencing datasets

AU - Shlemov, Alexander

AU - Bankevich, Sergey

AU - Bzikadze, Andrey

AU - Safonova, Yana

AU - Pevzner, Pavel A.

N1 - Funding Information: This project is supported by Russian Science Foundation (grant No 14-50-00069).

PY - 2017

Y1 - 2017

UR - http://www.scopus.com/inward/record.url?scp=85018399630&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85018399630&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85018399630

SN - 9783319569697

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 396

EP - 397

BT - Research in Computational Molecular Biology - 21st Annual International Conference, RECOMB 2017, Proceedings

A2 - Sahinalp, S.Cenk

PB - Springer Verlag

T2 - 21st Annual International Conference on Research in Computational Molecular Biology, RECOMB 2017

Y2 - 3 May 2017 through 7 May 2017

ER -

Shlemov A, Bankevich S, Bzikadze A, Safonova Y, Pevzner PA. Reconstructing antibody repertoires from error-prone immunosequencing datasets. In Sahinalp SC, editor, Research in Computational Molecular Biology - 21st Annual International Conference, RECOMB 2017, Proceedings. Springer Verlag. 2017. p. 396-397. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

Reconstructing antibody repertoires from error-prone immunosequencing datasets

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All Science Journal Classification (ASJC) codes

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