Change-O: a toolkit for analyzing large-scale B cell immunoglobulin repertoire sequencing data

UNLABELLED: Advances in high-throughput sequencing technologies now allow for large-scale characterization of B cell immunoglobulin (Ig) repertoires. The high germline and somatic diversity of the Ig repertoire presents challenges for biologically meaningful analysis, which requires specialized computational methods. We have developed a suite of utilities, Change-O, which provides tools for advanced analyses of large-scale Ig repertoire sequencing data. Change-O includes tools for determining the complete set of Ig variable region gene segment alleles carried by an individual (including novel alleles), partitioning of Ig sequences into clonal populations, creating lineage trees, inferring somatic hypermutation…

• YU
  Yale University
• NI
  National Institutes of Health

  Awards: RR19895, RR19895 and RR029676-01, R01AI104739, grants RR19895 and RR029676-01, RR029676-01
• UN
  U.S. National Library of Medicine

  Award: T15LM07056