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Single Cell Toolkit System Requirements

  • Up to 100,000 cells per analysis

  • More than 100,000 cells per analysis

Because of the large size of single cell RNA-Seq data sets and the computationally-intensive tools used in single cell analysis, we have amended our system requirements and recommendations for installations of Partek Flow with the Single Cell toolkit.

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Up to 100,000 cells per analysis

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Required

  • Linux: Ubuntu® 18.04, Redhat® 8, CentOS® 8, or newer

  • CPU: 64-bit 2 GHz quad-core processor

  • Memory: 64 GB of RAM

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Recommended

  • Linux: Ubuntu® 18.04, Redhat® 8, CentOS® 8, or newer

  • CPU: 64-bit 2 GHz quad-core processor

  • Memory: 128 GB of RAM

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More than 100,000 cells per analysis

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Required

  • Linux: Ubuntu® 18.04, Redhat® 8, CentOS® 8, or newer

  • CPU: 64-bit 2 GHz quad-core processor

  • Memory: 256 GB of RAM

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Recommended

  • Linux: Ubuntu® 18.04, Redhat® 8, CentOS® 8, or newer

  • CPU: 64-bit 2 GHz quad-core processor

  • Memory: 512 GB of RAM

For fastest performance:

  • Newer generation CPU cores with avx2 or avx-512 are recommended.

  • Performance scales proportionality to the number of CPU cores available.

  • Hyper thread cores (threads) scales performance for most operations other than principal component analysis.

*Contact Partek support for recommended setup of local scratch storage

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Additional Assistance

If you need additional assistance, please visit to submit a help ticket or find phone numbers for regional support.

Local scratch space*: 1 TB with cached or native speeds of 2GB/s or higher
  • Storage: > 2 TB available for data and > 100 GB on the root partition

  • Local scratch space1: 2 TB with cached or native speeds of 2GB/s or higher
  • Storage: > 2 TB available for data and > 100 GB on the root partition

  • Local scratch space1: 2 TB with cached or native speeds of 2GB/s or higher
  • Storage: > 4 TB available for data

  • Local scratch space1: 10 TB with cached or native speeds of 2GB/s or higher
  • Storage: 10 TB available for data

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