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SOS: online probability estimation and generation of T-and B-cell receptors.
Isacchini, Giulio; Olivares, Carlos; Nourmohammad, Armita; Walczak, Aleksandra M; Mora, Thierry.
Afiliação
  • Isacchini G; Laboratoire de physique de l'École normale supérieure (PSL University), CNRS, Sorbonne Université, Université de Paris, 75005 Paris, France.
  • Olivares C; Max Planck Institute for Dynamics and Self-organization, 37077 Göttingen, Germany.
  • Nourmohammad A; Laboratoire de physique de l'École normale supérieure (PSL University), CNRS, Sorbonne Université, Université de Paris, 75005 Paris, France.
  • Walczak AM; Max Planck Institute for Dynamics and Self-organization, 37077 Göttingen, Germany.
  • Mora T; Department of Physics, University of Washington, Seattle, WA 98195, USA.
Bioinformatics ; 36(16): 4510-4512, 2020 08 15.
Article em En | MEDLINE | ID: mdl-32814974
ABSTRACT

SUMMARY:

Recent advances in modelling VDJ recombination and subsequent selection of T- and B-cell receptors provide useful tools to analyse and compare immune repertoires across time, individuals and tissues. A suite of tools-IGoR, OLGA and SONIA-have been publicly released to the community that allow for the inference of generative and selection models from high-throughput sequencing data. However, using these tools requires some scripting or command-line skills and familiarity with complex datasets. As a result, the application of the above models has not been available to a broad audience. In this application note, we fill this gap by presenting Simple OLGA & SONIA (SOS), a web-based interface where users with no coding skills can compute the generation and post-selection probabilities of their sequences, as well as generate batches of synthetic sequences. The application also functions on mobile phones. AVAILABILITY AND IMPLEMENTATION SOS is freely available to use at sites.google.com/view/statbiophysens/sos with source code at github.com/statbiophys/sos.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Sequenciamento de Nucleotídeos em Larga Escala Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: França

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Sequenciamento de Nucleotídeos em Larga Escala Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: França