NEW YORK (GenomeWeb) – Researchers from centers in Spain and Germany have developed a comparative algorithm for finding and characterizing cancer mutations from high-throughput sequence data by directly comparing tumor reads to reads from matched normal samples, rather than aligning sequences to the human reference genome.

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