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Benchmarking immunoinformatic tools for the analysis of antibody repertoire sequences

Authors :
Birols, Inanc
Birols, I ( Inanc )
Smakaj, Erand
Babrak, Lmar; https://orcid.org/0000-0003-1211-4825
Ohlin, Mats
Shugay, Mikhail
Briney, Bryan
Tosoni, Deniz
Galli, Christopher
Grobelsek, Vendi
D’Angelo, Igor
Olson, Branden
Reddy, Sai
Greiff, Victor; https://orcid.org/0000-0003-2622-5032
Trück, Johannes; https://orcid.org/0000-0002-0418-7381
Marquez, Susanna
Lees, William; https://orcid.org/0000-0001-9834-6840
Miho, Enkelejda; https://orcid.org/0000-0001-6461-0519
Birols, Inanc
Birols, I ( Inanc )
Smakaj, Erand
Babrak, Lmar; https://orcid.org/0000-0003-1211-4825
Ohlin, Mats
Shugay, Mikhail
Briney, Bryan
Tosoni, Deniz
Galli, Christopher
Grobelsek, Vendi
D’Angelo, Igor
Olson, Branden
Reddy, Sai
Greiff, Victor; https://orcid.org/0000-0003-2622-5032
Trück, Johannes; https://orcid.org/0000-0002-0418-7381
Marquez, Susanna
Lees, William; https://orcid.org/0000-0001-9834-6840
Miho, Enkelejda; https://orcid.org/0000-0001-6461-0519
Source :
Smakaj, Erand; Babrak, Lmar; Ohlin, Mats; Shugay, Mikhail; Briney, Bryan; Tosoni, Deniz; Galli, Christopher; Grobelsek, Vendi; D’Angelo, Igor; Olson, Branden; Reddy, Sai; Greiff, Victor; Trück, Johannes; Marquez, Susanna; Lees, William; Miho, Enkelejda (2020). Benchmarking immunoinformatic tools for the analysis of antibody repertoire sequences. Bioinformatics, 36(6):1731-1739.
Publication Year :
2020

Abstract

Antibody repertoires reveal insights into the biology of the adaptive immune system and empower diagnostics and therapeutics. There are currently multiple tools available for the annotation of antibody sequences. All downstream analyses such as choosing lead drug candidates depend on the correct annotation of these sequences; however, a thorough comparison of the performance of these tools has not been investigated. Here, we benchmark the performance of commonly used immunoinformatic tools, i.e. IMGT/HighV-QUEST, IgBLAST and MiXCR, in terms of reproducibility of annotation output, accuracy and speed using simulated and experimental high-throughput sequencing datasets.

Details

Database :
OAIster
Journal :
Smakaj, Erand; Babrak, Lmar; Ohlin, Mats; Shugay, Mikhail; Briney, Bryan; Tosoni, Deniz; Galli, Christopher; Grobelsek, Vendi; D’Angelo, Igor; Olson, Branden; Reddy, Sai; Greiff, Victor; Trück, Johannes; Marquez, Susanna; Lees, William; Miho, Enkelejda (2020). Benchmarking immunoinformatic tools for the analysis of antibody repertoire sequences. Bioinformatics, 36(6):1731-1739.
Notes :
application/pdf, info:doi/10.5167/uzh-181911, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1416178260
Document Type :
Electronic Resource