Study Details Analytical Approach for Handling Large Metagenome Sample Datasets | GenomeWeb

NEW YORK (GenomeWeb News) – By combining two pre-assembly filtering approaches, researchers led by Michigan State University's Titus Brown were able to turn complex metagenomic datasets, including data from two soil samples, into ones that are comparably friendlier to assemble and use.

As they reported in an early edition Proceedings of the National Academy of Sciences paper to be published this week, the researchers combined both digital normalization and partitioning to process metagenomic sequencing samples before assembling them.

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