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Sökning: WFRF:(Busse Christian) > Adaptive Immune Rec...

LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00003884naa a2200517 4500
001oai:lup.lub.lu.se:e5f8b720-f9f3-45af-8570-edacf524cb26
003SwePub
008221227s2022 | |||||||||||000 ||eng|
0247 a https://lup.lub.lu.se/record/e5f8b720-f9f3-45af-8570-edacf524cb262 URI
0247 a https://doi.org/10.1007/978-1-0716-2115-8_162 DOI
040 a (SwePub)lu
041 a engb eng
042 9 SwePub
072 7a kap2 swepub-publicationtype
072 7a ref2 swepub-contenttype
1001 a Babrak, Lmar4 aut
2451 0a Adaptive Immune Receptor Repertoire (AIRR) Community Guide to TR and IG Gene Annotation
264 c 2022-05-28
264 1a New York, NY :b Springer US,c 2022
300 a 18 s.
520 a High-throughput sequencing of adaptive immune receptor repertoires (AIRR, i.e., IG and TR) has revolutionized the ability to carry out large-scale experiments to study the adaptive immune response. Since the method was first introduced in 2009, AIRR sequencing (AIRR-Seq) has been applied to survey the immune state of individuals, identify antigen-specific or immune-state-associated signatures of immune responses, study the development of the antibody immune response, and guide the development of vaccines and antibody therapies. Recent advancements in the technology include sequencing at the single-cell level and in parallel with gene expression, which allows the introduction of multi-omics approaches to understand in detail the adaptive immune response. Analyzing AIRR-seq data can prove challenging even with high-quality sequencing, in part due to the many steps involved and the need to parameterize each step. In this chapter, we outline key factors to consider when preprocessing raw AIRR-Seq data and annotating the genetic origins of the rearranged receptors. We also highlight a number of common difficulties with common AIRR-seq data processing and provide strategies to address them.
650 7a NATURVETENSKAPx Biologix Bioinformatik och systembiologi0 (SwePub)106102 hsv//swe
650 7a NATURAL SCIENCESx Biological Sciencesx Bioinformatics and Systems Biology0 (SwePub)106102 hsv//eng
653 a AIRR-Seq
653 a B-cell receptor
653 a Gene annotation
653 a Germline database
653 a Preprocessing
653 a Single-cell sequencing
653 a T-cell receptor
7001 a Marquez, Susannau Yale University4 aut
7001 a Busse, Christian E.u German Cancer Research Centre4 aut
7001 a Lees, William D.u Birkbeck, University of London4 aut
7001 a Miho, Enkelejdau Swiss Institute for Bioinformatics (SIB)4 aut
7001 a Ohlin, Matsu Lund University,Lunds universitet,Institutionen för immunteknologi,Institutioner vid LTH,Lunds Tekniska Högskola,LUCC: Lunds universitets cancercentrum,Övriga starka forskningsmiljöer,Department of Immunotechnology,Departments at LTH,Faculty of Engineering, LTH,LUCC: Lund University Cancer Centre,Other Strong Research Environments4 aut0 (Swepub:lu)immt-moh
7001 a Rosenfeld, Aaron M.u University of Pennsylvania4 aut
7001 a Stervbo, Ulrik4 aut
7001 a Watson, Corey T.u University of Louisville Health Sciences Center4 aut
7001 a Schramm, Chaim A.u National Institute of Allergy and Infectious Diseases4 aut
7001 a Langerak, Anton W.4 edt
7102 a Yale Universityb German Cancer Research Centre4 org
7102 a on behalf of the AIRR Community
7730 t Immunogenetics : Methods and Protocols - Methods and Protocolsd New York, NY : Springer USg 2453, s. 279-296q 2453<279-296x 1064-3745z 9781071621141z 9781071621158
8564 u http://dx.doi.org/10.1007/978-1-0716-2115-8_16x freey FULLTEXT
8564 8u https://lup.lub.lu.se/record/e5f8b720-f9f3-45af-8570-edacf524cb26
8564 8u https://doi.org/10.1007/978-1-0716-2115-8_16

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