HIGHLIGHTS
- who: Bioinformatics, and Editor Anthony, Mathelier from the University Hospital Zurich, Zurich, Switzerland, Department of Biology, ETH Zurich, Zurich, Switzerland, Cancer Research Center have published the Article: SECEDO: SNV-based subclone detection using ultra-low coverage single-cell DNA sequencing, in the Journal: (JOURNAL)
- what: The authors propose SECEDO (Single Cell Data Tumor Clusterer), a novel algorithm for clustering cells based on SNVs using single-cell_sequencing data with ultra-low coverage. Using an extensive set of simulated data, as well as five real datasets, the authors show that SECEDO is able to correctly identify tumor . . .
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