Data Processing Samples were demultiplexed via their Illumina indices, and processed using the Immcantation toolkit(1,2). Raw fastq files were filtered based on a quality score threshold of 20. Paired reads were joined if they had a minimum length of 10 nt, maximum error rate of 0.3 and a significance threshold of 0.0001. Reads with identical UMI were collapsed to a consensus sequence. Reads with identical full-length sequence and identical constant primer but differing UMI were further collapsed. Sequences were then submitted to IgBlast (3) for VDJ assignment and sequence annotation. Constant region sequences were mapped to germline using Stampy(4). The number and type of V gene mutations was calculated using the shazam R package.(2) software_versions pRESTO:0.5.3,Change-O:0.3.4,IgBlast 1.6.1, stampy1.0.21. shazam0.1.8 quality_thresholds FilterSeq.py pRESTO Q>20 paired_reads_assembly AssemblePairs.py pRESTO minlen 10 maxerror 0.3 alpha 0.0001 primer_match_cutoffs MaskPrimers.py pRESTO C primer & V primer maxerror 0.2 consensus_building BuildConsensus.py pRESTO maxerror 0.1 maxgap 0.5 collapsing_method CollapseSeq.py pRESTO germline_database IMGT Format Processed sequences are provided in a tab delimited file format, including the following annotations: C_CALL Isotype subclass SEQUENCE_ID Sequence identifier V_CALL V segment gene and allele D_CALL D segment gene and allele J_CALL J segment gene and allele JUNCTION_LENGTH Junction length CONSCOUNT Raw read count from which UMI consensus sequences were generated, summed over all UMIs for the given unique sequence. DUPCOUNT UMI count for the given unique sequence ISOTYPE Constant region primer (isotype) MU_COUNT_CDR_R Number of replacement mutations in CDR region MU_COUNT_CDR_S Number of silent mutations in CDR region MU_COUNT_FWR_R Number of replacement mutations in FWR region MU_COUNT_FWR_S Number of silent mutations in FWR region MUT_TOTAL Total number of mutations in V gene SEQUENCE_INPUT Full length sequence SEQUENCE_IMGT Gapped IMGT sequence V_GERM_START_VDJ position of the first nucleotide in ungapped V germline sequence alignment JUNCTION Junction nucleotide sequence GERMLINE_IMGT_D_MASK IMGT-gapped germline nucleotide sequence with ns masking the NP1-D-NP2 regions Run ID of sequencing run Sample_type The tissue sampled (e.g Peripheral Blood, bone marrow, ..) Sex Sex of the Subject Age Age of the subject UNIQUE_ID Subject identifier SAMPLE_ID Sample identifier, linking back to raw data Subset Defined B cell subset Repertoire Defined B cell repertoire (Naive, Memory IgM/IgD, IgA, IgG) R_SCDR R/S ratio in CDR region R_SFWR R/S ratio in FWR region V_FAM V family gene V_GENE V segment gene D_GENE D segment gene J_GENE J segment gene Clust_Rank Cluster rank Clust_REPRES Cluster representative Clust_SIZE Cluster size Clust_MAXFREQ Cluster maximum frequency Clust_SHAREDNESS Cluster sharedness CDR3_AA_GRAVY CDR3 hydrophobicity index CDR3_AA_CHARGE CDR3 charge CDRH3PDB CDRH3 PDB (Structure) code H1Canon H1 Canonical class H2Canon H2 Canonical class H1_GERMLINE H1 Germline Canonical class H2_GERMLINE H2 Germline Canonical class References 1. Vander Heiden, J. A., G. Yaari, M. Uduman, J. N. H. Stern, K. C. O’Connor, D. A. Hafler, F. Vigneault, and S. H. Kleinstein. 2014. PRESTO: A toolkit for processing high-throughput sequencing raw reads of lymphocyte receptor repertoires. Bioinformatics30: 1930–1932. 2. Gupta, N. T., J. A. Vander Heiden, M. Uduman, D. Gadala-Maria, G. Yaari, and S. H. Kleinstein. 2015. Change-O: A toolkit for analyzing large-scale B cell immunoglobulin repertoire sequencing data. Bioinformatics31: 3356–3358. 3. Ye, J., N. Ma, T. L. Madden, and J. M. Ostell. 2013. IgBLAST: an immunoglobulin variable domain sequence analysis tool. Nucleic Acids Res.41. 4. Lunter, G., and M. Goodson. 2011. Stampy: A statistical algorithm for sensitive and fast mapping of Illumina sequence reads. Genome Res.21: 936–939.