(Every Spring semester, 2nd to 9th weeks, Monday and Wednesday, 3 & 4 classes)
(Every Autumn semester) In this class, we teach students
Since Crop Genomics has been elected as a core course for CAU undergraduate student education, we are organizing a series of class for undergraduate students. Most classes will be launched in 2018 or 2019. They are:
Chapter 1. Introduction
Chapter 4. Origins of crops and domestication
Chapter 5. Population Genomics
Chapter 6. Genomic selection breeding
Chapter 7. Epigenomics and non-coding RNAs
Chapter 8. Bioinformatics databases and tools
The class will invite 8 experts in the cutting-edge plant genomics research, to introduce the hot topics involving plant genomics, NGS sequencing, epigenetics, non-coding RNAs, Big Data, genome-wide association analysis, molecular breeding, proteomics and etc. The goal of this class is to extend the view of the students in Agronomy and be preparative for their future research in crop genomics.
Bioinformatics is an interdisciplinary field to understand biological data combining computational programming, algorithm design, statistics, machine learning. In the past decade, the high-throughput sequencing technology is developed rapidly, and biological data has been accumulated amazingly, bringing opportunities for the field of bioinformatics. This course will follow the key questions in studying crop genome, and introduce the bioinformatics questions, methodology and achievements in aspects of genomics, transcriptomes, proteomics and system biology, respectively. For each topic, we will cover the question definition, data generation, analysis pipeline, computational algorithm and statistic modeling. The aim of this course is to guide student to systematically understand this field, and build a logical scientific thinking. The students would be able to learn the cut-edge research of crop bioinformatics, and gain knowledges and experience for their future relevant career.
This course will provide chances for undergraduate student to practice and gain experiences in bioinformatics. This course includes two main experiments. The first one is to build up a Shell pipeline for the alignment of high-throughput sequencing data and the following analysis. The second experiment require student to analysis multiple transcriptomes by normalization, differentially expression analysis, WGCNA analysis and visualization using R script. The two experiments cover both basic raw data analysis, and advance bioinformatics analysis, and will train student to build bioinformatics pipeline, understand parameters and visualize their data. Additionally, this course will provide chance to visit the top bioinformatics company in China, to perform experiment on bioinformatics cloud platform. The leader experts in this field will be invited to share their bioinformatics experiences and career, and introduce the market prospect of bioinformatics.