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Quantifying selection in high-throughput Immunoglobulin sequencing datasets (58.4)

Gur Yaari, Mohamed Uduman and Steven Kleinstein
J Immunol May 1, 2012, 188 (1 Supplement) 58.4;
Gur Yaari
1Pathology, Yale School of Medicine, New Haven, CT
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Mohamed Uduman
2Interdepartmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT
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Steven Kleinstein
1Pathology, Yale School of Medicine, New Haven, CT
2Interdepartmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT
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Article Information

vol. 188 no. 1 Supplement 58.4

Published By 
The American Association of Immunologists, Inc.
Print ISSN 
0022-1767
Online ISSN 
1550-6606
History 
  • Published online May 5, 2016.

Copyright & Usage 
Copyright © 2012 by The American Association of Immunologists, Inc.

Author Information

  1. Gur Yaari1,
  2. Mohamed Uduman2 and
  3. Steven Kleinstein1,2
  1. 1Pathology, Yale School of Medicine, New Haven, CT
  2. 2Interdepartmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT

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The Journal of Immunology
Vol. 188, Issue 1 Supplement
May 2012
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Quantifying selection in high-throughput Immunoglobulin sequencing datasets (58.4)
Gur Yaari, Mohamed Uduman, Steven Kleinstein
The Journal of Immunology May 1, 2012, 188 (1 Supplement) 58.4;

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Quantifying selection in high-throughput Immunoglobulin sequencing datasets (58.4)
Gur Yaari, Mohamed Uduman, Steven Kleinstein
The Journal of Immunology May 1, 2012, 188 (1 Supplement) 58.4;
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Print ISSN 0022-1767        Online ISSN 1550-6606