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NEW YORK (GenomeWeb) – Analyzing genomes of single cells as opposed to several cells in bulk could help tease apart genetic heterogeneity and cellular interactions, but research on single cells has been limited in scope due to the cost of sequencing or library generation, and the difficulties in isolating single cells. However, two research groups, from the University of Washington and Oregon Health & Science University, have now developed methods for analyzing single cells using combinatorial indexing that is scalable to thousands of cells and does not rely on ancillary equipment.

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