HPCC-NML Bioinformatics Computing Resource

Funded by USC Office of Research and Norris Medical Library, the HPC-NML Bioinformatics Computing Resource integrates USC Center for High Performance Computing’s superior infrastructure with cutting-edge bioinformatics software to offer USC researchers a powerful solution to their growing computational needs of the analysis of large genomic data, in particular, the Next-Generation Sequencing (NGS) data analysis.

We strongly recommend you apply an HPC account if you have large (>50GB fastq.gz files) or multiple NGS datasets.  Follow the detailed instruction to apply for an HPC account and configure it for Partek Flow analysis.

Partek Flow

• NGS raw reads alignment
• Start-to-finish RNA-seq analysis
• DNA-seq analyssis
• ChIP-seq analysis
• Single-cell analysis
• Visualization (PCA, t-SNE, volcano, hierarchical clustering, etc.)

HPCC-NML head-node (1): HP ProLiant DL165 G7 Non-Hot Plug Server

• Two 12-core AMD Opteron™ processor Model 6176 (2.3GHz, 80W)
• 60GB memory
• HP 1TB SATA non-hot plug hard drive

HPCC-NML nodes (4): HP ProLiant DL165s G7 Non-Hot Plug Server

• Two 12-Core AMD Opteron™ processor Model 6176 (2.3GHz, 80W)
• 48GB memory
• HP 1TB SATA non-hot plug hard drive