Synggen: fast and data-driven generation of synthetic heterogeneous ngs cancer data

HIGHLIGHTS

• who: Bioinformatics and colleagues from the Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy have published the research: Synggen: fast and data-driven generation of synthetic heterogeneous NGS cancer data, in the Journal: (JOURNAL)
• what: We developed synggen to perform fast and scalable generation of cancer and matched control WES and TS synthetic data without the need for intermediate FASTA files generation and exploiting multithreaded computation.
• how: The construction of reference models was tested for an increasing number of input samples selected among breast cancer control (nontumor) samples . . .
  

   

  

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