Welcome to JOINSOLVERreg;

JOINSOLVERreg; is a web-based software program developed for human immunoglobulin V(D)J recombination analysis created by the National Institutes of Health, National Institute of Arthritis and Musculosketelal and Skin Diseases (NIAMS) and the Center for Information Technology (CIT). JOINSOLVERreg; performs immunoglobulin nucleotide and amino acid alignment as well as extensive mutation and CDR3 analysis.

The criteria for JOINSOLVERreg; analysis were established by analyzing more than 1500 human immunoglobulin gene sequences. V(D)J rearrangements are aligned to germline immunoglobulin heavy and light chain genes within the JOINSOLVERreg; database that includes allelic variants, mapped and unmapped functional genes and pseudogenes. Navigational links on the top of the page provide access to JOINSOLVERreg; features.

To analyze a sequence, first select 'Guidelines' for instructions and then 'Enter Sequence' in the JOINSOLVERreg; navigation bar.

Data derived from the use of JOINSOLVERreg; may be used for academic research. Any reports employing such data should refer to JOINSOLVERreg;, as "JOINSOLVERreg; http://joinsolver.niams.nih.gov" and cite the description of its use: Souto-Carneiro*, M.M., Longo*, N.S., Russ*, D.E., Sun, H., Lipsky, P.E. Characterization of the human immunoglobulin heavy chain antigen binding complementarity determining region 3 using a newly-developed software algorithm, JOINSOLVERreg;. J. Immunol. 172 (11):6790-6802, 2004". *These authors contributed equally to this work

The following individuals contributed to the development of JOINSOLVERreg;: D. Blair, N.S. Longo, D. Russ, S. Shinohara, G. Sims, M.M. Souto-Carneiro, H.W. Sun, and P.E. Lipsky.

The following individuals contributed to the web development of JOINSOLVERreg;: B. Johnson, J. Cheng and L. Smith.

The HTJoinSolver desktop application can be downloaded from https://dcb.cit.nih.gov/HTJoinSolver/.

Updated October 25, 2004
Additional pseudogenes and allelic variants have been added to the VH, D and JH germline gene databases.

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