Enroll Course: https://www.coursera.org/learn/sheng-wu-xin-xi-xue
In the rapidly evolving fields of life sciences and computational sciences, bioinformatics stands out as a critical interdisciplinary domain. The course ‘生物信息学: 导论与方法’ offered by Peking University on Coursera provides an excellent introduction to this exciting field. Over the past three decades, advancements in high-throughput technologies, such as next-generation sequencing (NGS), have revolutionized our understanding of genomics, leading to the sequencing of numerous genomes and the generation of vast amounts of data.
This course is designed for anyone interested in understanding the fundamental concepts and methods of bioinformatics. It begins with an introduction to the history and rapid development of the field, ensuring that students grasp the foundational knowledge before diving into more complex topics.
The syllabus is well-structured, starting with sequence alignment, where students learn about dynamic programming algorithms, including the Needleman-Wunsch and Smith-Waterman algorithms. The course then progresses to sequence database searching, introducing students to essential databases and the intricacies of the BLAST algorithm.
One of the highlights of the course is the module on Markov models, where students gain hands-on experience in building hidden Markov models and applying them to real biological problems. This practical approach is continued in the NGS modules, where students learn about re-sequencing and variant identification, as well as RNA-Seq data analysis.
The course also covers functional prediction of variants, providing insights into tools like SIFT and Polyphen, which are crucial for interpreting genetic variations. Additionally, students explore ontology and molecular pathway identification, gaining familiarity with databases such as KEGG and GO.
The inclusion of research case studies, such as the origins of new genes and the evolutionary functional analysis of DNA methyltransferases, adds a real-world context to the theoretical knowledge acquired throughout the course. These case studies are not only informative but also inspire students by showcasing the practical applications of bioinformatics in current research.
Overall, ‘生物信息学: 导论与方法’ is a comprehensive course that equips students with the necessary skills and knowledge to navigate the vast landscape of bioinformatics. Whether you are a student, researcher, or simply curious about the intersection of biology and technology, this course is highly recommended. The blend of theoretical concepts and practical applications makes it an invaluable resource for anyone looking to delve into the world of bioinformatics.
Enroll Course: https://www.coursera.org/learn/sheng-wu-xin-xi-xue