2019
Inferred Allelic Variants of Immunoglobulin Receptor Genes: A System for Their Evaluation, Documentation, and Naming
Ohlin M, Scheepers C, Corcoran M, Lees WD, Busse CE, Bagnara D, Thörnqvist L, Bürckert JP, Jackson KJL, Ralph D, Schramm CA, Marthandan N, Breden F, Scott J, Matsen F, Greiff V, Yaari G, Kleinstein SH, Christley S, Sherkow JS, Kossida S, Lefranc MP, van Zelm MC, Watson CT, Collins AM. Inferred Allelic Variants of Immunoglobulin Receptor Genes: A System for Their Evaluation, Documentation, and Naming. Frontiers In Immunology 2019, 10: 435. PMID: 30936866, PMCID: PMC6431624, DOI: 10.3389/fimmu.2019.00435.Peer-Reviewed Original ResearchMeSH KeywordsAllelesBase SequenceDatabases, GeneticDatasets as TopicGene LibraryGenes, ImmunoglobulinGenetic VariationGerm-Line MutationHigh-Throughput Nucleotide SequencingHumansImmunoglobulin Heavy ChainsImmunoglobulin Variable RegionPolymerase Chain ReactionSequence AlignmentSequence Homology, Nucleic AcidTerminology as TopicV(D)J RecombinationVDJ ExonsConceptsGene databaseInternational ImMunoGeneTics information systemAdaptive immune receptor repertoire sequencingLymphocyte receptor genesAllelic variantsGermline genesReceptor geneAIRR CommunityVertebrate speciesGenetic variationIg diversityAIRR-seq dataJ genesIg genesAllelic sequencesGenesIGHV genesEffector moleculesUnprecedented insightsB-cell lineageBiological interpretationT cell receptorReference databaseGene variationRepertoire studies
2008
Getting Started in Computational Immunology
Kleinstein SH. Getting Started in Computational Immunology. PLOS Computational Biology 2008, 4: e1000128. PMID: 18769677, PMCID: PMC2518523, DOI: 10.1371/journal.pcbi.1000128.Peer-Reviewed Original Research
2003
Estimating Hypermutation Rates from Clonal Tree Data
Kleinstein SH, Louzoun Y, Shlomchik MJ. Estimating Hypermutation Rates from Clonal Tree Data. The Journal Of Immunology 2003, 171: 4639-4649. PMID: 14568938, DOI: 10.4049/jimmunol.171.9.4639.Peer-Reviewed Original Research