Hi all,
Our small core lab purchased two Dell Precision T7610 Tower Workstations equipped with 1 Intel Xeon E5-2687W v2 Eight-core 3.4 GHz Turbo, 25 MB processor, 64 GB 1866MHz DDR3 RAM, 1GB NVIDIA Quadro K600 Video card, 256 GB Solid-state drive and two 1TB SATA drives, DVD-RW drive, 10Gb Network adapter, and an Nvidia Tesla K20C Computer Processor.
I am a novice user, but some initial thoughts I have are:
1) Do we have enough RAM to support multiple (2-3) RNA-seq analyses? For example, alignments, mapping, differential expression analysis, etc.
2) Do we need an additional CPU? (Assuming we will be analyzing at least 2 RNA-seq experiments at any given time and will have additional users (2-3) logged on and trying to analyze their own data.)
3) It is my understanding that the greatest limiting factor in computational requirements for NGS analysis is I/O. At this point, is there any advantage to having a GPU versus CPU when it comes to NGS analysis?
Our small core lab purchased two Dell Precision T7610 Tower Workstations equipped with 1 Intel Xeon E5-2687W v2 Eight-core 3.4 GHz Turbo, 25 MB processor, 64 GB 1866MHz DDR3 RAM, 1GB NVIDIA Quadro K600 Video card, 256 GB Solid-state drive and two 1TB SATA drives, DVD-RW drive, 10Gb Network adapter, and an Nvidia Tesla K20C Computer Processor.
I am a novice user, but some initial thoughts I have are:
1) Do we have enough RAM to support multiple (2-3) RNA-seq analyses? For example, alignments, mapping, differential expression analysis, etc.
2) Do we need an additional CPU? (Assuming we will be analyzing at least 2 RNA-seq experiments at any given time and will have additional users (2-3) logged on and trying to analyze their own data.)
3) It is my understanding that the greatest limiting factor in computational requirements for NGS analysis is I/O. At this point, is there any advantage to having a GPU versus CPU when it comes to NGS analysis?
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