Practical Bioinformatics

Sufang Wang, PhD, graduated from Purdue University in May 2017, majoring in Bioinformatics. She joined Northwestern Polytechnical University as associate professor in June 2017. Her research focuses on the use of next-generation sequencing in genomics and transcriptomics. She is also interested in genome-wide association study in plants. She has published over 20 scientific papers.Michael Gribskov, received his PhD from the University of Wisconsin-Madison in 1985. After post-doctoral studies at UCLA and research at the NCI Frederick Cancer Research and Development Center, Dr. Gribskov joined the San Diego Supercomputer Center at UC San Diego, where he was also adjunct professor of Biology. From 2003 to 2007, Dr. Gribskov was president of the International Society for Computational Biology, the largest international society for bioinformatics and computational biology. In 2004, he joined Purdue University as professor of Biological Sciences. His interests include the relationship between macromolecular sequences (DNA, RNA, and proteins) and their evolution, structure and function, and biological networks that control and integrate the cellular development and function. In addition, his work includes developing databases and computational tools for functional genomics, and developing systems that federate knowledge across multiple electronic resources. Dr. Gribskov has published over 120 scientific papers with over 25000 total citations.

• Chapter 1. ​Introduction to Bioinformatics.- Chapter 2. Introduction to Antibiotic Resistance.- Chapter 3. Introduction to Evolution and Homology.- Chapter 4. Preparing your sequences.- Chapter 5. Investigating sequence comparison statistics.- Chapter 6. Finding homologous sequences using Blast.- Chapter 7. Finding homologous sequences using UniProt.- Chapter 8. Multiple Sequence Alignment.- Chapter 9. Identifying conserved sequence motifs.- Chapter 10. Building a phylogenetic tree.- Chapter 11. Gene expression analysis in RNA-seq.- Chapter 12. Machine learning methods in RNA-seq.