%0 Journal Article %A Beccuti, Marco %A Genuardi, Elisa %A Romano, Greta %A Monitillo, Luigia %A Barbero, Daniela %A Boccadoro, Mario %A Ladetto, Marco %A Calogero, Raffaele %A Ferrero, Simone %A Cordero, Francesca %D 2017 %T Additional file 5 of HashClone: a new tool to quantify the minimal residual disease in B-cell lymphoma from deep sequencing data %U https://springernature.figshare.com/articles/journal_contribution/Additional_file_5_of_HashClone_a_new_tool_to_quantify_the_minimal_residual_disease_in_B-cell_lymphoma_from_deep_sequencing_data/5631418 %R 10.6084/m9.figshare.c.3938158_D5.v1 %2 https://ndownloader.figshare.com/files/9805057 %K Clonality assessment %K Minimal residual disease monitoring %K Hash-based algorithm %X Figure S3. Clonotypes identification by ViDJil. The clonotypes identified by ViDJil in Pilot1 and Pilot2 are reported in the third column. In the fourth column are reported the clones passed the Phase A while in the fifth column there are the number of clones passed the Phase B. (PDF 46.4 kb) %I figshare