💻 Ravindra Raut 🚀 Exploring the Intersection of Bioinformatics and Computational Biology
🧑🔬 About Me Hello! I'm Ravindra Raut, a passionate bioinformatician and computational biologist with a strong foundation in analyzing omics data, developing bioinformatics tools, and creating reproducible computational workflows. My research explores the frontiers of genomics, single-cell multiomics, and molecular simulations to understand complex biological systems.
🔍 Research Interests: 🌱 Genome Evolution & Transposon Dynamics 🧬 Single-Cell Multiomics & Integration 🧪 Enzymology & Molecular Simulations 💻 Machine Learning in Bioinformatics 🛠️ Technical Skills Languages & Tools: Programming: Python 🐍 | R 📊 | Linux Bash 🖥️ NGS Analysis: FastQC | SPAdes | PROKKA | QUAST RNA-Seq: Trinity | edgeR | DESeq2 Workflow Management: Nextflow 🚀 | Galaxy | Docker 🐳 Molecular Simulations: GROMACS | AutoDock Vina Visualization: Matplotlib 📉 | ggplot2 🎨 Molecular Biology Expertise: Techniques: PCR, Cloning, DNA/RNA/Protein Isolation Applications: Heterologous Expression | Enzymatic Assays 🏆 Achievements 🎓 GATE Fellowship | 🥇 Best Poster Award 🏅 ICMR-JRF & ICAR-NET 🌍 BioC2021 Scholarship 🌍 Gyan Fellowship 2019
📖 Check out my CV for a detailed list of accomplishments.
🌟 Highlighted Projects Seri-Bioresource Database A comprehensive bioinformatics resource for integrating complex biological data related to sericulture.
Molecular Docking Studies Investigated therapeutic potentials of phytocompounds against diseases like Diabetes, COVID-19, and Rheumatoid Arthritis.
Genome-Wide Analysis of Rice Transposable Elements Uncovered key associations between transposons and resistance genes, shaping rice genome evolution.
📊 GitHub Stats
📫 Let's Connect! 📧 Email: [email protected] 🔗 LinkedIn: linkedin.com/in/ravindra-raut 🧬 ORCID: 0000-0002-2615-7757 🌐 GitHub: github.com/Ravindra-Raut ✨ "In science, the search for understanding never ends."