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  • Instituto de Pesquisa Carlos Chagas - ICC
  • Curitiba, Paraná

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giovannaprezia/README.md

👩🏻‍💻 Hello World!

Biomedical Scientist • Bioinformatician • Scientific Data Consultant

My name is Giovanna Prezia, I’m 28 years old and based in Curitiba, Paraná — Brazil.
I hold a Bachelor’s in Biomedical Sciences, a Master’s in Biotechnology, a Postgraduate Degree in Bioinformatics, and I currently work as a Bioinformatics Research Fellow at the Carlos Chagas Institute (Fiocruz).

I’m passionate about scientific data, reproducible analysis, automation and molecular biology.
I share part of my journey on LinkedIn and Medium, where I write about bioinformatics, data analysis, and career development.

Portfolio: https://giovannaprezia.github.io/


🧬 What I Do

I design and optimize end-to-end pipelines for:

  • RNA-seq (QC → alignment → quantification → differential expression)
  • Ribo-seq (frame periodicity → ORF detection → microprotein insights)
  • Genomics & variant analysis (GATK, VEP, annotation workflows)
  • Multi-omics integration
  • Scientific data cleaning, curation and visualization

I help research teams turn raw FASTQ files into clear, publication-ready results.


đź§Ş Areas of Expertise

  • Transcriptomics (bulk RNA-seq, Ribo-seq, smORFs, lncRNAs)
  • Genomics (variant calling, annotation, filtering)
  • Omics data integration
  • Workflow design and reproducibility
  • Data storytelling & scientific communication
  • Quality control for research pipelines

đź§  Services I Offer (Consulting)

1. Pipeline Review & Troubleshooting
Validation of analytical workflows, debugging errors, and improving reproducibility.

2. Custom NGS Pipeline Development
RNA-seq, Ribo-seq, variant analysis, and automation with Python/R/Bash.

3. Full Analysis Package
From FASTQ to figures: aligned results, DE outputs, functional interpretation.

4. Scientific Reports & Data Visualization
Publication-ready plots, figures, and structured documentation.

5. Data Preparation for Papers/Projects
QC summaries, methodology sections, workflows, and supplementary files.

đź“© To discuss consulting or collaborations: [email protected]


🤖 Languages & Technologies




đź”§ Tech Stack

  • NGS Tools: STAR, Bowtie, Cutadapt, FastQC, MultiQC, featureCounts
  • Variant Tools: GATK, VEP, SAMtools, ANNOVAR
  • Workflows: Snakemake, Galaxy, Bash automation
  • Data Science: pandas, numpy, ggplot2, tidyverse
  • Development: Git, Linux, Jupyter, VS Code
  • Visualization: matplotlib, seaborn, ggplot2, plotly

📊 GitHub Stats

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