Hardware requirements for Lasergene Genomics Suite or the DNASTAR Lasergene package are largely dependent upon whether you will be doing reference-guided or de novo assemblies. Please see the following sections for details of the technical requirements for each project type. If you ever need help, we welcome your call to help you through the hardware or software installation process.
For a network version of our software, please see our DNASTAR License Server Technical Requirements.
* Note that ArrayStar and QSeq were designed to run on Windows operating systems only. However, you can run ArrayStar and QSeq on a Macintosh with an Intel processor by using Parallels Desktop with Windows 7 or higher installed. Access to Lasergene Genomics Suite's variant annotation database is offered through ArrayStar and requires a broadband internet connection.
- 16 GB RAM (For Reference-Guided Genome and Targeted Resequencing Assemblies) or 32 GB RAM* (For RNA-Seq and De novo Transcriptome Assemblies)
- Intel i7 or Xeon 4-Core processor with Hyper-Threading
- One 1-4 TB** hard drive for storing temporary files ("scratch disk")
- One 1-4 TB hard drive for storing input and output files
- Minimum 250GB free on C: drive
*Exceedingly deep data sets or RNA data sets that have not been ribo-depleted may require additional RAM and/or increases in allocation of virtual memory. Also see: How much disk space do I need for my templated genome assembly?
**The size of the hard drive required for storing temporary files is largely dependent upon the size of the reference sequence used and the amount of sequence data assembled.
- 8 GB RAM
- Intel i5 or Xeon Dual Core
- One 250GB hard drive for storing temporary files ("scratch disk")
- 16-32 GB RAM**
- 4-Core 3 GHz processor
**Memory requirements for de novo assemblies increase in proportion to the number of assembled sequences and contigs. We recommend at least 1 GB of RAM per Mb of genome length at 50x coverage. During assembly, it may be helpful to watch the Activity Monitor/Task Manager to make sure adequate memory is available. If adequate memory is not available, either reduce the number of input reads or increase RAM. Also see How much RAM do I need for my de novo genome assembly?