Bioinformatics course: Learn to answer biological questions

Accelerating Discovery: How Novaflow (YC S25) is Redefining Bioinformatics for the Next Generation of Science Read it on Amazon: https://lnkd.in/g57aNyek

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"Want to stand out in science? 🚀 Learn the tools researchers use daily! Our evening Training Programme teaches real-world genomics & bioinformatics skills. From clueless to coding-get hands-on experience analyzing DNA sequences quickly and easily! 🧬 No experience needed. Just bring your curiosity."Spots are limited!" #LearnBioinformatics # ScienceForStudents # GenomicsMadeEasy #SkillsThatMatter #CareerInScience.

A new approach to computing genetic minimal cut sets replaces MILP with linear programming, significantly reducing runtime while maintaining accuracy. The method introduces k-representative subsets to streamline analysis of genome-scale metabolic models and has been benchmarked across E. coli and human GEMs.  Explore the full study in Bioinformatics Advances: https://lnkd.in/grdkhXBt

I had the privilege of attending the session on “Bioinformatics and Your Field” organized by Genomac Institute. The session offered valuable insights into how bioinformatics serves as a powerful bridge between biology, technology, and data science. It highlighted practical applications of bioinformatics in research and emphasized its growing role in solving complex scientific challenges. This experience has enhanced my perspective on applying bioinformatics tools and approaches within my field, paving the way for more impactful research. #Bioinformatics #GenomacInstitute #Research #AcademicGrowth #Learning

🧬 Bioinformatics has a deeper history than you think! Explore the evolution of this field in: “A Brief History of Bioinformatics” 🔗 DOI: 10.1093/bib/bby063 Perfect read for anyone curious about how biology met code! #Article

🔍 Learning to Automate, Scale, and Reproduce in Bioinformatics Today’s research workflows are no longer about just running analyses — they’re about making them scalable, reproducible, and efficient. That’s why I took part in the webinar on Mastering Nextflow : The Future of Workflow Automation in Bioinformatics, organized by DrOmics Research Lab . This session reminded me that in science, it’s not only the answers that matter, but also the processes we build to get there. 🚀 Grateful for the opportunity to learn, connect, and explore how workflow automation is shaping the next phase of bioinformatics. #Nextflow #Bioinformatics #Automation #FutureOfScience

In a recent collaboration with VELS University's Department of Bioinformatics, BioCogniz Academy offered a value-added course on the practical applications of 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐢𝐧 𝐛𝐢𝐨𝐢𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐜𝐬. The training emphasized hands-on learning, giving students the skills to tackle complex problems. #ValueAddedCourse #VELSuniversity #VISTAS S. Radha Mahendran Paruchuri Anoosha Dakshinamurthy Sivakumar Aarsha RK Ramya S Cathy Jemimah Abhirami L BioCogniz

We're committed to elevating learning, not by overwhelming students, but by helping them focus on what truly drives growth. Real competitiveness comes from clarity, not complexity. In collaboration with the Department of Bioinformatics at Vel's Institute of Science, Technology, and Advanced Studies, Chennai, BioCogniz Academy recently delivered a value-added course on the practical applications of artificial intelligence in bioinformatics. What made this special? It wasn’t just theory! It was hands-on, problem-solving, and deeply relevant to the future of life sciences. We believe better learning starts with better direction. By cutting through the noise and focusing on what counts, we’re shaping learners who are ready for the world, not just the exam. Dakshinamurthy Sivakumar BioCogniz

Ever wondered how we find a cancer-causing mutation in 3 billion letters of DNA? Or how AI is used to discover new drugs? 🧬🤖 The field solving these puzzles is Bioinformatics & Computational Biology. It's where biology, computer science, and statistics collide to answer the biggest questions in modern medicine. I'm exploring a world-class course syllabus from Harvard that covers everything from: ▶️ Analyzing genome sequences (RNA-seq, ChIP-seq) ▶️ Single-cell & cancer genomics ▶️ AI/ML for clustering and classification ▶️ CRISPR screen analysis. Curious? What topic in bioinformatics amazes you the most? Drop it in the comments! 👇 #Bioinformatics #ComputationalBiology #Genomics #DataScience #AI #MachineLearning #HealthTech #Pharma #Biotech #Science