I will analyze bioinformatics and ngs data with publication ready plots

V
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V
vid_naglic
Vid
analyze bioinformatics and ngs data with publication ready plots
Full Screen
analyze bioinformatics and ngs data with publication ready plots
Full Screen
analyze bioinformatics and ngs data with publication ready plotsanalyze bioinformatics and ngs data with publication ready plots

About this gig

Do you have biological data and need clear, publication-ready figures?


I will analyze and visualize bioinformatics, NGS, metabarcoding, microbiome and ecological datasets using R, Python and Bash. I work with data from bacteria, fungi and animals.


I can create:

- Taxonomy and abundance bar plots

- Alpha diversity comparisons

- PCA, PCoA and NMDS ordinations

- Heatmaps, clustering and correlation plots

- Treatment-group comparisons

- Statistical summaries and exploratory analysis

- Figures for reports, posters and publications

- Reproducible R or Python code


Accepted inputs include CSV, TSV and Excel files, taxonomy or ASV/OTU tables, sample metadata and processed QIIME2 or DADA2 outputs. You will receive high-resolution PNG, PDF or SVG figures.


Please contact me before ordering so I can review your files, research question and we discuss your expected outputs.


  • Tool

    • RStudio

  • Chart type

    • Comparison
    • Concept
    • Distribution
    • Patterns
    • Range
    • Pie Chart
    • Gantt chart

Get to know Vid

Vid

Bioinformatics and Scientific Data Analyst

  • FromSlovenia
  • Member sinceMar 2026

  • Languages

    English, Spanish, Croatian
I am a biosciences PhD student and researcher with experience in DNA metabarcoding, NGS data analysis, biodiversity, soil ecology, and scientific visualization. I help researchers, students, and small labs turn biological data into clear, publication-ready figures and reproducible analyses. I work with bacterial, fungal, animal, ecological, taxonomy, ASV/OTU, and experimental datasets using R, Python, and common bioinformatics workflows. My fieldwork background gives me a practical understanding of real, imperfect biological data.

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