Biological data

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This team works together with groups and users to offer a robust computational infrastructure for high-performance processing of biological data. It conducts advanced statistical analyses and applies visualization techniques and methods from bioinformatics, machine learning, and artificial intelligence. The objective of these approaches is to extract significant information about sets of complex and diversified biological data like omics and bioimaging.

Equipment

  • Marvin HPC cluster:
    • 1 GPU processing node with NVIDIA HDX 8x A100 40GB, 2TB RAM, 2x AMD EPYC 7742 (256 threads)
    • 1 CPU processing node with 2x AMD EPYC 7742 (256 threads) and 1 TB RAM
    • 1 login node with NVIDIA A40 48GB for visualization
    • Very high-performance storage: 300TB capacity, parallel file system (Lustre), storage on SSD NVMe.
  • Sonny (Cluster):
    • 3 processing nodes with: AMD Ryzen 3950x (32 threads), 128GB RAM, 2x NVIDIA RTX 2080 8GB
    • 40TB storage

Main competencies and techniques

  • Developing algorithms and protocols for high-performance data processing
  • Data analysis using advanced statistics methods and machine learning
  • Developing tools and web services for data analysis
  • Applying techniques to visualize complex data
  • Analyzing and integrating omics with bioinformatics methods
  • Providing administration, access, documentation, and support for high-performance computing infrastructure

meet our team

José Geraldo de Carvalho Pereira

Adjunct researcher

group of advanced methodologies in biology
See Lattes CV

João Victor da Silva Guerra

Analyst

group of advanced methodologies in biology
See Lattes CV

Pablo Wesley de Aguiar e Silva

Jr. Analyst

group of advanced methodologies in biology
See Lattes CV

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