Method and system for processing data for evaluating a quality level of a dataset

System for processing data for evaluating a quality level of an original dataset resulting from an automated sequencing of a chain of nucleotides, wherein said sequenced chain comprises a plurality of predefined identified regions and said original dataset represents a plurality of total mapped reads and a plurality of read count intensities, each read count intensity corresponding to the number of total mapped reads in an identified region of said sequenced chain,

• Said system comprising:
• a sampler for sampling the plurality of total mapped reads of said original dataset at a selected sampling density to produce at least one data subset comprising a plurality of sampled mapped reads;
• a computer for computing, for each said data subset, at least one dispersion indicator for each of said identified regions, representative the divergence between an actual read count intensity for said identified region in said data subset and a theoretical read count intensity for said identified region in said data subset, the actual read count intensity for said identified region corresponding to the number of sampled mapped reads in this identified region, the theoretical read count intensity for said identified region corresponding to a theoretical number of sampled mapped reads in this identified region which does not depend on the current sampling.