Understanding Hidden Markov Models in Bioinformatics

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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

🔬 Most-Cited Research Articles in Science (All Time) – #10 CLUSTAL W: Improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties, and weight matrix choice 📖 Thompson, Higgins & Gibson, 1994 📊 ~40,300 citations This landmark work introduced CLUSTAL W, a breakthrough software for multiple sequence alignment (MSA). It brought: ✅ Sequence weighting – reducing bias in alignments ✅ Position-specific gap penalties – more accurate alignments ✅ Flexible weight matrix choice – improved sensitivity across diverse datasets CLUSTAL W has been indispensable in bioinformatics, shaping fields like: 🧬 Comparative genomics 🦠 Evolutionary biology 💊 Drug discovery 🌍 Phylogenetics Even decades later, its influence continues across computational biology, setting the foundation for advanced algorithms in genome research. 📌 This is a reminder that algorithms can be as transformative as experiments in shaping scientific discovery. #Bioinformatics #Genomics #SequenceAlignment #MostCit

Utkarsha’s NAR Genomics and Bioinformatics paper is now online! What began as a simple observation 'seeing 6.4 kb difference in the genome assemblies of same strain from two different labs', transformed into this elegant work on 'microbial genome sequencing, assembly, & comparative genomics', due to UTKARSHA MAHANTA’s dedicated effort. Check out the paper using this link: https://lnkd.in/gWFc5ScE Thanks to Department of Science and Technology and their INSPIRE scheme for funding both of us (research fellowship for her and Faculty grant for me) in the last several years.

Our study on creating a consensus genome assembly of Myxococcus xanthus DZ2 and uncovering Mx-alpha prophage diversity across Myxococcota is now published in NAR Genomics & Bioinformatics! Truly grateful to Gaurav Sharma, Ph.D., for his guidance & support. 🔗 https://lnkd.in/dnE3Umws

X-CRISP introduces a flexible, interpretable neural network for predicting CRISPR repair outcomes. By using a compact set of sequence and outcome features, it outperforms existing models on detailed and aggregate predictions, highlighting the role of microhomology location in deletions. With transfer learning, X-CRISP adapts across human and mouse cell lines, requiring as few as 50 samples for new domains.  Explore the full paper in Bioinformatics Advances: https://lnkd.in/gBgaxwjC

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

🔍 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

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

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