Skip to content
View moxgreen's full-sized avatar
  • University of Turin
  • Torino Italy

Highlights

  • Pro

Block or report moxgreen

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
moxgreen/README.md

Ivan Molineris

Welcome to My GitHub Profile!

👋 Hi, I'm Ivan Molineris, Associate Professor at the Department of Life Sciences and Systems Biology at the Università 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.

🎓 Academic Background

  • Associate Professor at the Department of Life Sciences and Systems Biology, Università 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.

📚 Research and Publications

  • 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.

🛠️ Skills and Expertise

  • 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.

🤝 Collaboration and Contributions

  • 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.

📬 Contact Me

  • For collaborations, questions, or to get in touch, feel free to contacti me.

🔍 Current Projects

  • 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!

Popular repositories Loading

  1. ATAC-seq ATAC-seq Public

    Forked from reskejak/ATAC-seq

    Basic workflow for ATAC-seq analysis

    R 1

  2. rnaFoldRand rnaFoldRand Public

    Analyze RNA folding with randomization

    Python 1

  3. mutprediction-with-shape mutprediction-with-shape Public

    Forked from sameelab/mutprediction-with-shape

    Github repository for the Liu and Samee 2020 publication, predicting single nucleotide mutation rate variations with a combination of DNA shape features and sequence context features.

    Jupyter Notebook 1

  4. PyROC PyROC Public

    Forked from marcelcaraciolo/PyROC

    This is a python simple tool for generating charts for ROC curve

    Python

  5. wq wq Public

    Forked from wq/wq

    wq: a modular framework supporting mobile / web geographic data collection applications for citizen science, crowdsourcing, and VGI. Powered by Django REST Framework, jQuery Mobile, Mustache, d3, a…

    JavaScript

  6. partial_corr.py partial_corr.py Public

    simple script to compute partial correlation in python

    Python 1