SOS: online probability estimation and generation of T-and B-cell receptors

Bioinformatics. 2020 Aug 15;36(16):4510-4512. doi: 10.1093/bioinformatics/btaa574.

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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Family Characteristics
  • High-Throughput Nucleotide Sequencing*
  • Humans
  • Probability
  • Receptors, Antigen, B-Cell / genetics
  • Software*

Substances

  • Receptors, Antigen, B-Cell