Machine for single-cell RNA-seq analysis (May 2023 version)

A customer involved in genetic research inquired about a machine for performing single-cell RNA-seq analysis using Python and R.
We plan to perform QC (Quality Control), mapping, quantification, and data analysis from FastQC data, and with the current machine, it takes about 24 hours from execution to completion, so we would like to shorten the processing time. .Also, since R's Parallel package is not used, I would like a configuration that emphasizes the number of clocks.

Based on the conditions you contacted us, we proposed the following configuration.

【Main Specifications】

Since it is desirable to have a configuration that emphasizes the number of clocks rather than the number of cores, it is configured using the Core i9-13900KS. Since the Core i9-13900KS generates a lot of heat, the CPU cooler in this configuration is replaced with a larger size than usual.

If you are using R's Parallel package, or if you want to increase the number of calculations that can be run simultaneously, a configuration using AMD's CPU (ThreadripperPRO) is also an option.In that case, please also consider setting the memory capacity according to the number of calculations and scale.

The configuration of this case study is based on the conditions given by the customer.
Please feel free to contact us even if you are considering different conditions from what is posted.