2015
Change-O: a toolkit for analyzing large-scale B cell immunoglobulin repertoire sequencing data
Gupta NT, Vander Heiden JA, Uduman M, Gadala-Maria D, Yaari G, Kleinstein SH. Change-O: a toolkit for analyzing large-scale B cell immunoglobulin repertoire sequencing data. Bioinformatics 2015, 31: 3356-3358. PMID: 26069265, PMCID: PMC4793929, DOI: 10.1093/bioinformatics/btv359.Peer-Reviewed Original ResearchConceptsHigh-throughput sequencing technologyB cell immunoglobulinLarge-scale characterizationLineage treesSpecialized computational methodsSelection pressureSequencing technologiesSomatic diversityClonal populationsIg repertoireSomatic hypermutationIg sequencesDiversityNon-commercial useSuite of utilitiesRepertoire diversityGermlineComputational methodsAllelesHypermutation
2012
Quantifying selection in high-throughput Immunoglobulin sequencing datasets (58.4)
Yaari G, Uduman M, Kleinstein S. Quantifying selection in high-throughput Immunoglobulin sequencing datasets (58.4). The Journal Of Immunology 2012, 188: 58.4-58.4. DOI: 10.4049/jimmunol.188.supp.58.4.Peer-Reviewed Original Research