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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