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  • University of Michigan
  • Ann Arbor

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Olamide025/README.md

Hi, I'm Olamide Animasahun

I am a computational biology and metabolomics researcher interested in building reproducible tools and analytical workflows for cancer metabolism, metabolic pathway analysis, and multi-omics data interpretation.

Featured Computational Biology Projects

1. RODA: Raw Global Metabolomics Data Processing and Pathway Enrichment

Repository: https://github.com/Olamide025/RODA

RODA is an R package/pipeline for processing raw global metabolomics data from SCIEX 7500 or similar platforms. It performs data preprocessing, quality control, normalization, statistical analysis, and pathway enrichment analysis using MetaboAnalyst-compatible outputs.

Key contributions and features:

  • Built an end-to-end R workflow for raw metabolomics data processing.
  • Designed input formats for peak area, retention time, internal standards, sample group information, quality metrics, and normalization metadata.
  • Generated MetaboAnalyst-ready outputs for downstream pathway enrichment.
  • Added example usage, tests, documentation, and package structure.

Skills demonstrated: R programming, metabolomics data processing, pathway enrichment analysis, package development, reproducible workflow design, data quality control.

2. CLIM: Collateral Lethal Identification via Metabolic Fluxes

Repository: https://github.com/DNagrathLab/CLIM

CLIM is a computational platform developed to identify collateral lethal metabolic pathways in cancer cells, especially in the context of large-scale chromosomal deletion events and paralogous metabolic pathway dependencies.

Key scientific focus:

  • Cancer metabolism
  • Collateral lethality
  • Metabolic pathway modeling
  • Computational identification of metabolic vulnerabilities
  • Integration of metabolic flux and survival-related analyses

Skills demonstrated: Python, R, MATLAB, cancer systems biology, metabolic modeling, computational genomics, survival/pathway analysis, collaborative research software development.

Research and Technical Interests

  • Computational biology
  • Cancer metabolism
  • Metabolomics and pathway enrichment
  • Multi-omics data analysis
  • Bioinformatics workflow development
  • Machine learning for biological discovery
  • Translational research and biomarker discovery

Contact

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  1. Olamide025 Olamide025 Public

  2. RODA RODA Public

    An R package for preprocessing raw global metabolomics data, performing QC/normalization, and perform pathway enrichment analysis

    R

  3. DNagrathLab/CLIM DNagrathLab/CLIM Public

    Codes developed for the "Collateral Lethal genes Identification via Metabolic fluxes (CLIM)" platform

    Python 2