Bioinformatics

Server Infrastructure

RON

Our state-of-the-art teaching server, designed to give students hands-on experience with a cutting-edge bioinformatics system. Its software environment closely mirrors our research servers, so students learn on tools they'll use in real research.

The server is built around two AMD EPYC 9754 processors. Each runs at a 2.25 GHz base clock and provides 128 cores and 256 threads, for a combined total of 256 cores and 512 threads.

Memory comes from 24 RDIMM modules of 128 GB each, running at 4800 MT/s in a quad-rank configuration, for a total of 3 TB of RAM. This large memory pool lets RON handle big databases, in-memory computations, and many virtual machines at once, all while keeping multitasking smooth and data access fast.

Storage is provided by a 90 TB RAID array.

PREMISE

Our state-of-the-art research server. The Premise core infrastructure is provided for UNH researchers. The Premise core infrastructure includes: racks, power distribution, cooling, InfiniBand Network mesh, Lustre file storage, a head node and four compute nodes. You may thank; UNH RCC, UNH Central IT, and the Research Office for providing this infrastructure.

  • 70 compute nodes connected together using 100GB HDR Infiniband networking
    • All compute nodes have at least two 12-core CPUs
      • 30 nodes have 24 cores per node from dual 12 core CPUs
      • 16 nodes have 32 cores per node from dual 16 core CPUs
      • 11 nodes have 40 cores per node from dual 20 core CPUs
      • 1 node has 48 cores per node from dual 24 core CPUs
      • 1 node has 64 cores per node from dual 32 core CPUs
      • 6 nodes have 112 cores per node from dual 56 core CPUs
      • 2 nodes have 64 cores per node from quad 16 core CPUs
      • 1 node has 32 cores per node from quad 8 core CPUs
      • 1 node has 32 cores per node from a single core CPU
      • 1 node has 24 cores per node from a single core CPU
    • All compute nodes have at least 128GB of main memory
      • 22 compute nodes has 128GB of main memory
      • 5 compute nodes has 192GB of main memory
      • 14 compute nodes has 256GB of main memory
      • 6 compute nodes have 384GB of main memory
      • 9 compute nodes have 512GB of main memory
      • 8 compute nodes have 768GB of main memory
      • 4 compute nodes have 1TB of main memory
      • 2 compute nodes have 2TB of main memory
      • 9 compute nodes have NVidia K80 GPUs
      • 1 compute node has NVidia v100 GPU
      • 15 compute nodes have NVidia a100 GPUs
      • 1 compute node has NVidia h100 GPU
  • Shared Cluster storage
    • 225TB+ of usable storage.
    • 777TB+ of usable PixStor storage.
    • 160TB uncompressed ZFS archive/backup storage

UNH Data Science Core

You can request statistical and bioinformatic services through the UNH DSC.

https://sites.usnh.edu/data-science-core/

Workshop Training

The HCGS provides bioinformatics training and support. Project support is available based upon consultation. Our sequencing and bioinformatic workshops cover a wide range of NGS workflows and includes training in the command-line environment and with Python, BASH, and R programming.

Example workshops

Bioinformatics T3: Train The Trainers
UNH Tech Camp
BITMaB [Benthic Invertebrates Taxonomy, Metagenomics, and Bioinformatics Workshop]
Qiime2

NH INBRE logo

NH-INBRE Sponsored Workshops
The NH-INBRE program supports the UNH Bioinformatics Core facility that provides bioinformatics services to the NH-INBRE community. Dr. Kelley Thomas leads the Bioinformatics Core facility at UNH. This facility provides NH-INBRE participants with access to outstanding, state-of-the-art computing for genomic analysis, on site training modules in genomics and bioinformatics, deep DNA sequencing, gene expression, and many other important biomedical research tools.

Gulf of Mexico Research Initiative
The Gulf of Mexico Research Initiative (GoMRI) will investigate the impacts of the oil, dispersed oil, and dispersant on the ecosystems of the Gulf of Mexico and affected coastal States in a broad context of improving fundamental understanding of the dynamics of such events and their environmental stresses and public health implications. The GoMRI will also develop improved spill mitigation, oil and gas detection, characterization and remediation technologies.

Gulf of Mexico Research Initiative logo

The ultimate goal of the GoMRI will be to improve society’s ability to understand, respond to and mitigate the impacts of petroleum pollution and related stressors of the marine and coastal ecosystems, with an emphasis on conditions found in the Gulf of Mexico. Knowledge accrued will be applied to restoration and to improving the long-term environmental health of the Gulf of Mexico.