Bioinformatician / computational biologist focused on single-cell transcriptomics and systems/network biology, with a strong interest in reproducible pipelines and clean, well-documented analyses.
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- Bioinformatician working primarily in Linux environments, with Python as the main programming language, complemented by Bash and working knowledge of R for integrative analyses.
- Expertise in end-to-end scRNA-seq analysis workflows, from raw sequencing files (FASTQ/BAM) through QC, normalization, integration, clustering, annotation, and functional interpretation.
- Specialized in systems biology and network-based analyses, leveraging signaling and regulatory networks to address biological questions beyond gene lists.
- Research focus on host–microbiome interactions, immunology, and inflammation, including IBD, immune cell biology, microbial virulence factors, and gene regulation in health and disease, often integrating multi-omics data.
- Committed to reproducible science and data rigor, with experience in pipeline development, workflow standardization, and meticulous validation of identifiers, annotations, and results.
- HMIpipeline (MicrobioLink)
- scRNA-seq-workflows
- Systems biology analysis of Citrobacter rodentium RNA-seq
- Pathway-Gene Correlation Analysis
- Taxonomic classification of microbial sequences using machine learning (SVM)
- Development of an ecological biopesticide using RNAi
- LinkedIn: https://www.linkedin.com/in/tahilaandrighetti/
- Email: [email protected] | [email protected]
- Portfolio: https://www.tahila.work