π Hi, I'm Ivan Molineris, Associate Professor at the Department of Life Sciences and Systems Biology at the UniversitΓ degli Studi di Torino, specializing in Molecular Biology (SSD: BIO/11). My work spans across various disciplines, including Biotechnology for Neuroscience, with a strong focus on bioinformatics and the study of complex systems for quantitative biomedicine.
- Associate Professor at the Department of Life Sciences and Systems Biology, UniversitΓ degli Studi di Torino.
- Engaged in teaching courses like Applied Bioinformatics, Introductory Bioinformatics, Data Science, and more, primarily focusing on Biotechnology for Neuroscience and Biological Sciences.
- My research interests include bioinformatics, computational biology, and the study of transcription factor binding sites through machine learning and AI.
- Significant contributions to the understanding of RNA-seq analysis, artificial intelligence in the study of transcription factor binding sites, and the role of 3D DNA structure in RNA-DNA triple helices formation.
- For a detailed list of my publications, visit my ORCID profile.
- Expertise in molecular biology, bioinformatics, computational biology, and data science.
- Proficient in developing and managing projects like the RNA-seq analysis pipeline nJARP, aiming for high reproducibility and customization.
- I encourage students to embark on projects like nJARP and AI4TFBS, promoting the publication of their results in open repositories.
- Open to collaborations that push the boundaries of bioinformatics and computational biology.
- For collaborations, questions, or to get in touch, feel free to contacti me.
- Not Just Another RNAseq Pipeline (nJARP): Focusing on integrating state-of-the-art procedures for RNA-seq analysis.
- AI for the study of Transcription Factor Binding Sites (AI4TFBS): Exploring AI and machine learning approaches to improve TFBS discovery and modeling.
- The role of 3D DNA structure in RNA-DNA triple helices formation: Investigating the impact of DNA structure deviations on gene regulation.
Feel free to explore my repositories below to see some of my work and contributions to various projects!