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
Recommended
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.
1 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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