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Related papers: IGoR: a tool for high-throughput immune repertoire…

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Motivation: The analysis of antibodies and T-cell receptors (TCRs) concentrations in serum is a fundamental problem in immunoinformatics. Repertoire construction is a preliminary step of analysis of clonal lineages, understanding of immune…

Genomics · Quantitative Biology 2016-04-11 Alexander Shlemov , Sergey Bankevich , Andrey Bzikadze , Yana Safonova

The adaptive immune system recognizes antigens via an immense array of antigen-binding antibodies and T-cell receptors, the immune repertoire. The interrogation of immune repertoires is of high relevance for understanding the adaptive…

Quantitative Methods · Quantitative Biology 2018-03-02 Enkelejda Miho , Alexander Yermanos , Cédric R. Weber , Christoph T. Berger , Sai T. Reddy , Victor Greiff

Recent advances in modelling VDJ recombination and subsequent selection of T and B cell receptors provide useful tools to analyze and compare immune repertoires across time, individuals, and tissues. A suite of tools--IGoR [1], OLGA [2] and…

Genomics · Quantitative Biology 2020-11-20 Giulio Isacchini , Carlos Olivares , Armita Nourmohammad , Aleksandra M. Walczak , Thierry Mora

Somatic hypermutations of immunoglobulin (Ig) genes occuring during affinity maturation drive B-cell receptors' ability to evolve strong binding to their antigenic targets. The landscape of these mutations is highly heterogeneous, with…

Genomics · Quantitative Biology 2021-02-05 Natanael Spisak , Aleksandra M. Walczak , Thierry Mora

B-cell repertoires are characterized by a diverse set of receptors of distinct specificities generated through two processes of somatic diversification: V(D)J recombination and somatic hypermutations. B cell clonal families stem from the…

Populations and Evolution · Quantitative Biology 2024-03-19 Natanael Spisak , Gabriel Athènes , Thomas Dupic , Thierry Mora , Aleksandra M. Walczak

Immune repertoires provide a unique fingerprint reflecting the immune history of individuals, with potential applications in precision medicine. However, the question of how personal that information is and how it can be used to identify…

High-throughput sequencing of T- and B-cell receptors makes it possible to track immune repertoires across time, in different tissues, in acute and chronic diseases and in healthy individuals. However quantitative comparison between…

B cell receptors (BCRs) play a crucial role in recognizing and fighting foreign antigens. High-throughput sequencing enables in-depth sampling of the BCRs repertoire after immunization. However, only a minor fraction of BCRs actively…

Populations and Evolution · Quantitative Biology 2023-12-22 Maria Francesca Abbate , Thomas Dupic , Emmanuelle Vigne , Melody A. Shahsavarian , Aleksandra M. Walczak , Thierry Mora

Fundamental to quantitative characterization of the B cell receptor repertoire is clonal diversity - the number of distinct somatically recombined receptors present in the repertoire and their relative abundances, defining the search space…

Quantitative Methods · Quantitative Biology 2017-08-30 William DeWitt , Paul Lindau , Thomas Snyder , Marissa Vignali , Ryan Emerson , Harlan Robins

The collection of immunoglobulin genes in an individual's germline, which gives rise to B cell receptors via recombination, is known to vary significantly across individuals. In humans, for example, each individual has only a fraction of…

Populations and Evolution · Quantitative Biology 2019-07-26 Duncan K. Ralph , Frederick A. Matsen

Diverse repertoires of hypervariable immunoglobulin receptors (TCR and BCR) recognize antigens in the adaptive immune system. The development of immunoglobulin receptor repertoire sequencing methods makes it possible to perform…

Probabilistic modeling is fundamental to the statistical analysis of complex data. In addition to forming a coherent description of the data-generating process, probabilistic models enable parameter inference about given data sets. This…

Populations and Evolution · Quantitative Biology 2018-05-01 Branden J. Olson , Frederick A. Matsen

High-throughput technologies such as next generation sequencing allow biologists to observe cell function with unprecedented resolution, but the resulting datasets are too large and complicated for humans to understand without the aid of…

Applications · Statistics 2021-10-08 David S. Watson

Transforming error-prone immunosequencing datasets into antibody repertoires is a fundamental problem in immunogenomics, and a prerequisite for studies of immune responses. Although various repertoire reconstruction algorithms were released…

Recent developments in next generation sequencing technology have led to the creation of extensive, open-source protein databases consisting of hundreds of millions of sequences. To render these sequences applicable in biomedical…

Machine Learning · Computer Science 2024-12-10 Azwad Tamir , Jiann-Shiun Yuan

The diversity of the immune repertoire is initially generated by random rearrangements of the receptor gene during early T and B cell development. Rearrangement scenarios are composed of random events -- choices of gene templates, base pair…

Genomics · Quantitative Biology 2016-06-29 Yuval Elhanati , Quentin Marcou , Thierry Mora , Aleksandra M. Walczak

High-throughput sequencing of B- and T-cell receptors makes it possible to track immune repertoires across time, in different tissues, and in acute and chronic diseases or in healthy individuals. However, quantitative comparison between…

Quantitative Methods · Quantitative Biology 2020-11-20 Maximilian Puelma Touzel , Aleksandra M. Walczak , Thierry Mora

T-cell receptors (TCR) are key proteins of the adaptive immune system, generated randomly in each individual, whose diversity underlies our ability to recognize infections and malignancies. Modeling the distribution of TCR sequences is of…

Quantitative Methods · Quantitative Biology 2020-07-01 Giulio Isacchini , Zachary Sethna , Yuval Elhanati , Armita Nourmohammad , Aleksandra M. Walczak , Thierry Mora

Repertoire-level analysis of T cell receptors offers a biologically grounded signal for disease detection and immune monitoring, yet practical deployment is impeded by label sparsity, cohort heterogeneity, and the computational burden of…

Machine Learning · Computer Science 2026-04-23 Rong Fu , Muge Qi , Yang Li , Yabin Jin , Jiekai Wu , Jiaxuan Lu , Chunlei Meng , Youjin Wang , Zeli Su , Juntao Gao , Li Bao , Qi Zhao , Wei Luo , Simon Fong
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