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Adaptive Immune Receptor Repertoire (AIRR) Community Guide to Repertoire Analysis.
Marquez, Susanna; Babrak, Lmar; Greiff, Victor; Hoehn, Kenneth B; Lees, William D; Luning Prak, Eline T; Miho, Enkelejda; Rosenfeld, Aaron M; Schramm, Chaim A; Stervbo, Ulrik.
  • Marquez S; Department of Pathology, Yale School of Medicine, New Haven, CT, USA.
  • Babrak L; Institute of Biomedical Engineering and Medical Informatics, School of Life Sciences, FHNW University of Applied Sciences and Arts Northwestern Switzerland, Muttenz, Switzerland.
  • Greiff V; Department of Immunology, University of Oslo, Oslo University Hospital, Oslo, Norway.
  • Hoehn KB; Department of Pathology, Yale School of Medicine, New Haven, CT, USA.
  • Lees WD; Institute of Structural and Molecular Biology, Birkbeck College, University of London, London, UK.
  • Luning Prak ET; Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • Miho E; Institute of Biomedical Engineering and Medical Informatics, School of Life Sciences, FHNW University of Applied Sciences and Arts Northwestern Switzerland, Muttenz, Switzerland.
  • Rosenfeld AM; SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland.
  • Schramm CA; aiNET GmbH, Basel, Switzerland.
  • Stervbo U; Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Methods Mol Biol ; 2453: 297-316, 2022.
Article in English | MEDLINE | ID: covidwho-1935746
ABSTRACT
Adaptive immune receptor repertoires (AIRRs) are rich with information that can be mined for insights into the workings of the immune system. Gene usage, CDR3 properties, clonal lineage structure, and sequence diversity are all capable of revealing the dynamic immune response to perturbation by disease, vaccination, or other interventions. Here we focus on a conceptual introduction to the many aspects of repertoire analysis and orient the reader toward the uses and advantages of each. Along the way, we note some of the many software tools that have been developed for these investigations and link the ideas discussed to chapters on methods provided elsewhere in this volume.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Software / Receptors, Immunologic Topics: Vaccines Language: English Journal: Methods Mol Biol Journal subject: Molecular Biology Year: 2022 Document Type: Article Affiliation country: 978-1-0716-2115-8_17

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Software / Receptors, Immunologic Topics: Vaccines Language: English Journal: Methods Mol Biol Journal subject: Molecular Biology Year: 2022 Document Type: Article Affiliation country: 978-1-0716-2115-8_17