Partek Flow Documentation

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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. 

Up to 100,000 cells per analysis

Required

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

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

  • Memory: 64 GB of RAM

  • Local scratch space1: 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

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

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

  • Memory: 128 GB of RAM

  • 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

More than 100,000 cells per analysis

Required

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

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

  • Memory: 256 GB of RAM

  • Local scratch space1: 2 TB with cached or native speeds of 2GB/s or higher

  • Storage:  > 4 TB available for data

Recommended

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

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

  • Memory: 512 GB of RAM

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

  • Storage: 10 TB available for data

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



Additional Assistance

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

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