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Fig. 1 | BMC Bioinformatics

Fig. 1

From: HashClone: a new tool to quantify the minimal residual disease in B-cell lymphoma from deep sequencing data

Fig. 1

HashClone pipeline. The three steps at the basis of HashClone strategy are highlighted: the first step (red box) regards the significant k-mer identification considering all samples to be analyzed and generating the set of k-mers; the second step (green box) is focused on the generation of read signatures leading to the identification of the set of putative clones from patient’s samples; the third step (blue box) is dedicated to the characterization and evaluation of the cancer clones

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