Systematic comparative study of computational methods for T-cell receptor sequencing data analysis

Abstract. High-throughput sequencing technologies have exposed the possibilities for the in-depth evaluation of T-cell receptor (TCR) repertoires. These studie

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Bibliographic Details
Main Authors:	Afzal, Saira (Author) , Gil-Fariña, Irene (Author) , Gabriel, Richard (Author) , Kalle, Christof von (Author) , Schmidt, Manfred (Author) , Fronza, Raffaele (Author)
Format:	Article (Journal)
Language:	English
Published:	2019
In:	Briefings in bioinformatics Year: 2019, Volume: 20, Issue: 1, Pages: 222-234
ISSN:	1477-4054
DOI:	10.1093/bib/bbx111
Online Access:	Verlag, Volltext: http://dx.doi.org/10.1093/bib/bbx111 Verlag, Volltext: https://academic.oup.com/bib/advance-article/doi/10.1093/bib/bbx111/4210453
Author Notes:	Saira Afzal, Irene Gil-Farina, Richard Gabriel, Shahzad Ahmad, Christof von Kalle, Manfred Schmidt and Raffaele Fronza

Description
Summary:	Abstract. High-throughput sequencing technologies have exposed the possibilities for the in-depth evaluation of T-cell receptor (TCR) repertoires. These studie
Item Description:	Published: 23 September 2017 Gesehen am 08.07.2019
Physical Description:	Online Resource
ISSN:	1477-4054
DOI:	10.1093/bib/bbx111