10/29/2014
Customer asks AccuraScience to help with single-cell RNA-seq analysis. After a phone conversation, AccuraScience LB proposes a plan.
Mon, 11/3/2014 at 9:57 AM
Customer: Do you have any experience in analyzing chip seq data for histone modifications?
Fri, 10/31/2014 at 9:17 AM
AccuraScience LB: (Abbreviated version of the proposal) We propose to do the following: (1) Process single-cell RNA-seq data for the 40 individual cells, including sequencing data quality control, mapping of the read data to the reference genome and exon-exon junctions, and summarizing the results in expression levels of all genes. (2) Apply Principal Component Analysis (PCA) or similar methods to analyze the sub-population structure of the control group based on the expression profiles of individual cells, and (3) Interpret the sub-groups in the context of expected biological sub-populations, with Customer-provided marker gene lists expected to be differentially expressed across the sub-populations.
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Note: LB stands for Lead Bioinformatician. An AccuraScience LB is a senior bioinformatics expert and leader of an AccuraScience data analysis team.
Disclaimer: This text was selected and edited based on genuine communications that took place between a customer and AccuraScience data analysis team at specified dates and times. The editing was made to protect the customer’s privacy and for brevity. The edited text may or may not have been reviewed and approved by the customer. AccuraScience is solely responsible for the accuracy of the information reflected in this text.