Single-cell RNA-Seq can be used to examine the expression of individual cells and provides a higher resolution of cellular differences as compared to traditional RNA-Seq. Single-cell RNA-Seq enables us to understand the function of an individual cell in the context of its microenvironment.
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The latest in next-gen sequencing technology
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Full bioinformatics analysis
Expert technical support to assist with data interpretation
In-Depth Data Analysis Includes:
Demultiplexing of raw base calls
Performing alignment, filtering, barcode counting, and UMI counting
Generating gene-barcode matrices and determining clusters
Biostatistical analysis – expression analysis, multi-parameter data analysis, length distribution, transcript copy number comparisons, etc
Aggregating outputs from multiple runs and normalizing runs to the same sequencing depth (if applicable)
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We have been very satisfied with our miRNA microarray and are very much looking forward to the RNA-Seq results!
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My paper which was done with your great help has been published!