VDJSeq-Solver: In Silico V(D)J Recombination Detection Tool
Ficarra, ElisaNote: Order does not necessarily reflect citation order of authors.
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CitationPaciello, Giulia, Andrea Acquaviva, Chiara Pighi, Alberto Ferrarini, Enrico Macii, Alberto Zamo’, and Elisa Ficarra. 2015. “VDJSeq-Solver: In Silico V(D)J Recombination Detection Tool.” PLoS ONE 10 (3): e0118192. doi:10.1371/journal.pone.0118192. http://dx.doi.org/10.1371/journal.pone.0118192.
AbstractIn this paper we present VDJSeq-Solver, a methodology and tool to identify clonal lymphocyte populations from paired-end RNA Sequencing reads derived from the sequencing of mRNA neoplastic cells. The tool detects the main clone that characterises the tissue of interest by recognizing the most abundant V(D)J rearrangement among the existing ones in the sample under study. The exact sequence of the clone identified is capable of accounting for the modifications introduced by the enzymatic processes. The proposed tool overcomes limitations of currently available lymphocyte rearrangements recognition methods, working on a single sequence at a time, that are not applicable to high-throughput sequencing data. In this work, VDJSeq-Solver has been applied to correctly detect the main clone and identify its sequence on five Mantle Cell Lymphoma samples; then the tool has been tested on twelve Diffuse Large B-Cell Lymphoma samples. In order to comply with the privacy, ethics and intellectual property policies of the University Hospital and the University of Verona, data is available upon request to firstname.lastname@example.org after signing a mandatory Materials Transfer Agreement. VDJSeq-Solver JAVA/Perl/Bash software implementation is free and available at http://eda.polito.it/VDJSeq-Solver/.
Citable link to this pagehttp://nrs.harvard.edu/urn-3:HUL.InstRepos:15034899
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