Enroll Course: https://www.coursera.org/learn/sheng-wu-xin-xi-xue
The Coursera course titled “生物信息学: 导论与方法” (Bioinformatics: Introduction and Methods) offered by Peking University is an exceptional resource for anyone interested in the rapidly evolving field of bioinformatics. This course offers a comprehensive overview that bridges both biological and computational sciences, making it highly valuable for students, researchers, and professionals aiming to understand the complexities of biological data analysis.
The curriculum is well-structured, starting from basic concepts of sequence alignment and extending to advanced topics like next-generation sequencing (NGS), variant detection, transcriptome analysis, and pathway identification. One of the standout features is the hands-on approach—students can learn to implement algorithms such as Needleman-Wunsch and Smith-Waterman for sequence alignment, explore the BLAST database search, and even construct hidden Markov models for biological predictions.
The course also delves into critical and current research methods, providing practical understanding through modules on NGS data analysis, RNA-Seq, non-coding RNA prediction, and pathway analysis using databases like KEGG and GO. Furthermore, including case studies on gene origin and DNA methylation demonstrates real-world applications that deepen understanding.
What elevates this course is its accessibility and depth. The lectures are designed to be engaging and informative, catering to learners with basic biological or computational backgrounds. The course materials, combined with supplementary resources, empower learners to apply these skills in their research projects.
Overall, I highly recommend “生物信息学: 导论与方法” for anyone eager to gain foundational and applied knowledge in bioinformatics. Whether you’re starting out or looking to expand your expertise, this course is a valuable stepping stone into the world of biological data analysis, opening up new research opportunities and enhancing your career in life sciences or computational biology.
Enroll Course: https://www.coursera.org/learn/sheng-wu-xin-xi-xue