Python for Bioinformatics: Use Machine Learning and Data Analysis for Drug Discovery

Bioinformatics Research: Discover biomarkers using datasets

The Genomics Discovery Initiative

Being a Bioinformatician means you’ve to learn how to retrieve & analyze biological data, how to align & analyze biological sequences, how to find out the conserved patterns, how to predict coding regions or genes from a raw nucleotide sequence, and much more. To efficiently deal with huge genomic and proteomic data often requires writing short scripts or patches of code to computationally analyze the biological datasets, rather than comparing and analyzing such huge datasets manually. In this i

🔬 Relive the excitement of our Genome Bioinformatics Workshop! 🧬🎉 🌟 Students explored practical aspects of bioinformatics, including NGS analysis pipelines and variant annotation fundamentals. They gained insights from industry professionals and connected with peers from diverse institutions. 🤝 🎓 Our workshop fostered collaboration between academia and industry, empowering the next generation of bioinformaticians. Stay tuned for more exciting opportunities! #GenomeBioinformatics #WorkshopR