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Analysis of single-cell transcriptomes in colorectal cancer

Feb 21, 2017

Scientists performed an unbiased analysis of functional diversity in colorectal cancer cells and their microenvironment using RNA-seq profiling of over 1,500 unsorted single cells from 11 primary tumors and matched normal mucosa (NM). To robustly interpret single-cell transcriptomes, we developed novel algorithms for normalizing expression estimates (pQ), clustering cells (RCA) and identifying differentially expressed genes (NODES). RCA identified 6 major cell types and multiple subtypes within colorectal samples.

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Fluidigm

Fluidigm is a Molecular and Single Cell Biology company that creates microfluidic-based chips and instrumentation for Life-Science research.

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The first automated solution for single-cell genomics, now capable of even more

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