Manasa Rapuru

Manasa Rapuru

Undergraduate Bioinformatics Research Student

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  • Timeline

  • About me

    Molecular Biology & Bioinformatics Scientist at Thermo Fisher Scientific

  • Education

    • San Jose State University

      2016 - 2020
      Bachelor of Science - BS Microbiology

      Minor: Bioinformatics and Chemistry

    • Boston University

      2021 - 2023
      Master of Science - MS Bioinformatics
    • San Jose State University

      2016 - 2020
      Bachelor of Science - BS Microbiology, General
    • San Jose State University

      2016 - 2020
      Bachelor of Science - BS Microbiology, General
  • Experience

    • San Jose State University

      Jan 2019 - Mar 2021
      Undergraduate Bioinformatics Research Student

      - Researched on the purpose of Candidatus Saccharibacteria in the oral cavity through the analysis of a putative lactase gene.- Performed phylogenetic analysis and protein visualization- Used tools such as genetic databases, Biopython, PyMol and multiple sequence alignment softwares.

    • Sandia National Laboratories

      Jun 2020 - Aug 2020
      Bioinformatics Intern

      - Involved in phage therapy research with focus on identification of integrative genetic elements in bacterial genomes- Utilized Perl and Python to perform analyses

    • Massachusetts General Hospital

      Mar 2021 - Aug 2023
      Bioinformatics Specialist

      - Worked in Huntington’s Disease Research Lab- Performed analyses with RNA-Seq data, scRNA-Seq data and - Experienced in utilizing Python and R in analysis workflows

    • Boston University

      Sept 2021 - May 2023
      Graduate Student

      - Developed a website with a database as part of a class project to visualize postmortem brain data. The website dynamically generated visuals for differentially expressed genes, counts per million, and pathway analysis data obtained from diverse brain regions and patients with various disease types. Frontend wasdeveloped with HTML, CSS and Javascript and backend was constructed with SQL and Python- Conducted analyses on RNA-seq, microarray, ChIP-seq, and single-cell data with R- Used Snakemake to construct workflows- Developed a python workflow that incorporated machine learning methods from python scikit-learn to analyze cell morphology metrics derived from IncuCyte images Show less

    • Thermo Fisher Scientific

      Apr 2024 - now
      Molecular Biology & Bioinformatics Scientist
  • Licenses & Certifications