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Bioinformatics Analysis Course of Huada University (Advanced)
The course of bioinformatics analysis in Huada University is divided into three levels.

Junior year: bioinformatics analyst

The registration conditions for the certification examination are as follows (only one of them can be met):

A. All students who participated in bioinformatics analysis

B. Undergraduate students (junior or above) and graduate students majoring in bioinformatics can directly register for the examination without training.

Intermediate: Bioinformatics Engineer

To sign up for the certification exam, you need to meet one of the following two conditions:

A. Obtain the certification of Bioinformatics Analyst of Huada University (that is, pass the primary courses and exams).

B. major in biology, computer science, statistics, bioinformatics, etc. Engaged in bioinformatics analysis 1 year or more (those who have already worked only need to find the company's work certificate, which is easy! )

Senior year: expert in bioinformatics analysis (divided into four directions: complex diseases, microorganisms, animals and plants, and cancer)

The advanced certification exam is more demanding. You must take advanced courses (online and offline) and pass the intermediate examination certification. Only two conditions are met.

Point: only the catalogue. If you want to watch the teaching video, please go to Xu Mu Platform of Huada College of Genetics (tuition fee, 6 18, double eleven is often discounted ~ ~).

Why use gene-based correlation analysis?

Gene-based correlation analysis method

Introduction of related concepts

Comparison of survival curves

COX regression analysis

Concepts and methods of phenotypic variance calculation and disease prediction

Concept and analysis method of gene interaction

Case sharing one or two

abstract

abstract

Overall flow of sequencing analysis of exons and target regions

Mutation detection based on population

Sample, SNPs QC

Correlation analysis based on SNPs

Linkage analysis

Meta-analysis

case sharing

Introduction to basic concepts of GWAS

Experimental design of GWAS

Quality control of samples

Common statistical terms of case control

Common statistical test methods for case control

Project case sharing