Adaptive immune receptor repertoire analysis
B cell and T cell receptor repertoires compose the adaptive immune receptor repertoire
(AIRR) of an individual. The AIRR is a unique collection of antigen-specific receptors that …
(AIRR) of an individual. The AIRR is a unique collection of antigen-specific receptors that …
[HTML][HTML] Multi-omics analysis: Paving the path toward achieving precision medicine in cancer treatment and immuno-oncology
V Raufaste-Cazavieille, R Santiago… - Frontiers in Molecular …, 2022 - frontiersin.org
The acceleration of large-scale sequencing and the progress in high-throughput
computational analyses, defined as omics, was a hallmark for the comprehension of the …
computational analyses, defined as omics, was a hallmark for the comprehension of the …
The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoires
Adaptive immune receptor repertoires (AIRR) are key targets for biomedical research as
they record past and ongoing adaptive immune responses. The capacity of machine …
they record past and ongoing adaptive immune responses. The capacity of machine …
[HTML][HTML] Genetic variation in the immunoglobulin heavy chain locus shapes the human antibody repertoire
OL Rodriguez, Y Safonova, CA Silver, K Shields… - Nature …, 2023 - nature.com
Variation in the antibody response has been linked to differential outcomes in disease, and
suboptimal vaccine and therapeutic responsiveness, the determinants of which have not …
suboptimal vaccine and therapeutic responsiveness, the determinants of which have not …
[HTML][HTML] Molecular big data in sports sciences: state-of-art and future prospects of OMICS-based sports sciences
Together with environment and experience (that is to say, diet and training), the biological
and genetic make-up of an athlete plays a major role in exercise physiology. Sports …
and genetic make-up of an athlete plays a major role in exercise physiology. Sports …
Improving generalization of machine learning-identified biomarkers using causal modelling with examples from immune receptor diagnostics
Abstract Machine learning is increasingly used to discover diagnostic and prognostic
biomarkers from high-dimensional molecular data. However, a variety of factors related to …
biomarkers from high-dimensional molecular data. However, a variety of factors related to …
[HTML][HTML] Biological controls for standardization and interpretation of adaptive immune receptor repertoire profiling
Use of adaptive immune receptor repertoire sequencing (AIRR-seq) has become
widespread, providing new insights into the immune system with potential broad clinical and …
widespread, providing new insights into the immune system with potential broad clinical and …
[HTML][HTML] TCR repertoire diversity in Multiple Sclerosis: High-dimensional bioinformatics analysis of sequences from brain, cerebrospinal fluid and peripheral blood
Background T cells play a key role in the pathogenesis of multiple sclerosis (MS), a chronic,
inflammatory, demyelinating disease of the central nervous system (CNS). Although several …
inflammatory, demyelinating disease of the central nervous system (CNS). Although several …
Profiling the baseline performance and limits of machine learning models for adaptive immune receptor repertoire classification
Background Machine learning (ML) methodology development for the classification of
immune states in adaptive immune receptor repertoires (AIRRs) has seen a recent surge of …
immune states in adaptive immune receptor repertoires (AIRRs) has seen a recent surge of …
CompAIRR: ultra-fast comparison of adaptive immune receptor repertoires by exact and approximate sequence matching
Motivation Adaptive immune receptor (AIR) repertoires (AIRRs) record past immune
encounters with exquisite specificity. Therefore, identifying identical or similar AIR …
encounters with exquisite specificity. Therefore, identifying identical or similar AIR …