Researchers in the pathology and bioinformatics arms of the Memorial Sloan-Kettering Cancer Center are developing pipelines that will be eventually be used to manage and analyze data and workflows for the center's next-generation sequencing-based clinical diagnostic assays.

Both pipelines combine open source software and internally developed applications into a scalable automated infrastructure for managing and analyzing data that is currently being used in cancer research studies at MSKCC, including one focused on detecting low-frequency somatic mutations.

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