【Class Requirements】If you do not have an account yet, please register first.

The availability of online resources is contributing to a growing global problem of plagiarism across all educational sectors. Turnitin is the world-leading plagiarism prevention system trusted by 15,000 institutions in 140 countries. Available 24-7, it’s web-based and there’s no need to install any software.

It works by comparing submitted work to the world's largest collection of internet, academic, and student paper content. Turnitin is a complete tool for detecting unoriginal work and teaching students academic writing and referencing skills.

Outline

• What is Turnitin?
• Setting Up Your Account
• Submitting Your Paper
• Viewing the Similarity Report  
• Downloading the Similarity Report

EndNote accelerates our research process so we can focus on what truly matters – conducting and sharing groundbreaking research. With the help of EndNote, we can collect, organize, manage, and even format references for our research efficiently. Let's make the most of EndNote.

Outline

•Install EndNote and create a library

•Collect References

•Manage and Groups

•Cite While You Write

•Back up and Share

eQTL, Genetic correlation, Mendenlian randomization

【Class Requirements】If you do not have an account yet, please register first.

The availability of online resources is contributing to a growing global problem of plagiarism across all educational sectors. Turnitin is the world-leading plagiarism prevention system trusted by 15,000 institutions in 140 countries. Available 24-7, it’s web-based and there’s no need to install any software.

It works by comparing submitted work to the world's largest collection of internet, academic, and student paper content. Turnitin is a complete tool for detecting unoriginal work and teaching students academic writing and referencing skills.

Outline

• What is Turnitin?
• Setting Up Your Account
• Resetting Your Password
• Creating a New Class
• Creating an Assignment
• Submitting the Papers
• Viewing the Similarity Report  
• Downloading the Similarity Report
• Resources & FAQs

【Class Requirements】If you do not have an account yet, please register first.

Course Description

This workshop introduces advanced applications of IPA in multi-omics data integration, biological pathway discovery, and toxicity prediction. Participants will explore case-based examples to identify key regulatory mechanisms using proteomic, phosphoproteomic, and transcriptomic data, and apply tools such as IPA Interpret and machine learning-assisted analysis to construct biologically meaningful insights.

Course outlies

1. Overview of IPA and Recent Database Updates
2. Introduction to IPA Interpret for Automated Data Explanation
3. Application of Multi-Omics Data in IPA
   • Pathway and Regulator Network Analysis in Viral Infection (Monkeypox virus)
   • Transcriptomics-Based Toxicity Analysis in Pesticide Exposure Models
4. Machine Learning Pathway Analysis and Advanced Features
5. Upstream Regulator Analysis and Tox Analysis for Predictive Toxicology
6. Interpretation of Results and Reporting Strategies

1. Theoretical string alignment and local alignment algorithm in computer science

2. BLAST -- Basic Local Alignment Search Tools

3. BLAST statistics

4. Description of kinds of BLAST programs

5. Use of online BLAST programs, NCBI and EnsemblPlants

6. Use of standalone BLAST programs, with an example of post processing

In recent years, with the rapid development of high-throughput genetic testing methods and internet technology, the accumulation of genetic and clinical data in the healthcare field has been astonishing. Given the vast and complex nature of this data, establishing an efficient analytical framework capable of accurately addressing research hypotheses has become an urgent challenge. As data continues to grow, more researchers are leveraging machine learning techniques and artificial intelligence models for exploratory analysis, with results that can further assist clinical decision-making and real-world interventions. In this talk, we will present several research case studies to illustrate the current state of genetic and clinical data. Through the integration of these datasets, we aim to provide more precise analytical outcomes.

10:00-12:00 FlowJo Basic

13:30-15:30 Plugins on FlowJo Exchange

1.Extension of EndNote Core Functionality

2.Modifying Output Styles for Journal Submissions

3.Combining English and Chinese Journal Styles

This course focuses on advanced features of EndNote, extending from the core functionality. It will teach you how to modify Output styles, create Term Lists, adjust and correct formatting according to journal submission standards, and address other common issues encountered during the writing process. This course is suitable for those with prior experience using EndNote or those who have attended the EndNote core course.

Bulk RNA sequence from raw counts, included normalization, batch correlation, DEG and GO/GSEA analysis