ArticleBioinformatics (Oxford, England)2020
Benchmarking immunoinformatic tools for the analysis of antibody repertoire sequences.
Article in Bioinformatics (Oxford, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.
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Who cites it
44 citing papers in PubMed.
- Comprehensive Profiling of T- and B-Cell Receptor Repertoires Demonstrates Impaired Developmental and Activation of Adaptive Immunity in DOCK8 Deficiency.Journal of clinical immunology · 2026Article
- Medical software for precision diagnostics of infection with immunoprofiling and artificial intelligence.Journal of translational medicine · 2026Review
- Machine learning in AIRR diagnostics: Advances and applications.Immunoinformatics (Amsterdam, Netherlands) · 2025Article
- Enhancing sequence alignment of adaptive immune receptors through multi-task deep learning.Nucleic acids research · 2025Article
- High-throughput strategies for monoclonal antibody screening: advances and challenges.Journal of biological engineering · 2025Review
- Unveiling inverted D genes and D-D fusions in human antibody repertoires unlocks novel antibody diversity.Communications biology · 2025Article
- RIOT-Rapid Immunoglobulin Overview Tool-annotation of nucleotide and amino acid immunoglobulin sequences using an open germline database.Briefings in bioinformatics · 2024Article
- Machine learning for precision diagnostics of autoimmunity.Scientific reports · 2024Article
- An unbiased comparison of immunoglobulin sequence aligners.Briefings in bioinformatics · 2024Article
- [Chinese expert consensus on minimal residual disease detection in multiple myeloma based on bone marrow samples (2024)].Zhonghua xue ye xue za zhi = Zhonghua xueyexue zazhi · 2024Article
- LAP: Liability Antibody Profiler by sequence & structural mapping of natural and therapeutic antibodies.PLoS computational biology · 2024Article
- Blood transcriptomics analysis offers insights into variant-specific immune response to SARS-CoV-2.Scientific reports · 2024Article
- The multilevel extensive diversity across the cynomolgus macaque captured by ultra-deep adaptive immune receptor repertoire sequencing.Science advances · 2024Article
- Article
- The dengue-specific immune response and antibody identification with machine learning.NPJ vaccines · 2024Article
- nanoBERT: a deep learning model for gene agnostic navigation of the nanobody mutational space.Bioinformatics advances · 2024Article
- Benchmarking antibody clustering methods using sequence, structural, and machine learning similarity measures for antibody discovery applications.Frontiers in molecular biosciences · 2024Article
- Blood transcriptomics analysis offers insights into variant-specific immune response to SARS-CoV-2.bioRxiv : the preprint server for biology · 2023Article
- Article
- AIRRSHIP: simulating human B cell receptor repertoire sequences.Bioinformatics (Oxford, England) · 2023Article
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16 authors.
Funding
Abstract
summaryAntibody 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.We analyzed changes in IMGT reference germline database in the last 10 years in order to assess the reproducibility of the annotation output. We found that only 73/183 (40%) V, D and J human genes were shared between the reference germline sets used by the tools. We found that the annotation results differed between tools. In terms of alignment accuracy, MiXCR had the highest average frequency of gene mishits, 0.02 mishit frequency and IgBLAST the lowest, 0.004 mishit frequency. Reproducibility in the output of complementarity determining three regions (CDR3 amino acids) ranged from 4.3% to 77.6% with preprocessed data. In addition, run time of the tools was assessed: MiXCR was the fastest tool for number of sequences processed per unit of time. These results indicate that immunoinformatic analyses greatly depend on the choice of bioinformatics tool. Our results support informed decision-making to immunoinformaticians based on repertoire composition and sequencing platforms. AVAILABILITY AND IMPLEMENTATION: All tools utilized in the paper are free for academic use. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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