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New Computational Biology Tool Automates and Standardizes Genome Sequencing Analysis

In a single experiment, scientists can decipher the entire genomes of many patient samples, animal models or cultured cells. To fully realize the potential to study biology at this unprecedented scale, researchers must be equipped to analyze the titanic troves of data generated by these new methods. Scientists at Sanford Burnham Prebys Medical Discovery Institute and the University of California Los Angeles published findings March 17, 2026, in Cell Reports Methods discussing building and testing a new computational tool for tackling massive and complex sequencing datasets. The new resource, named metapipeline-DNA, may also make sequencing data analysis more standardized across different research labs.

March 17, 2026


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