Bioinformatics Lab at Yangtze University

We are team of talented scientist

Teach Students

Teach Bioinformatics, Biological Data Analysis and Programing, Animal Genetics courses, and etc.

Scientific Consult

Providing advice and recommendations to solve complex bioinformatics problems.

Scientific Research

Conduct cutting edge reserch for bioinformatic theories and hypotheses.

Software Development

Analyze Bioinformatician's needs and then design, test, and develop software to meet those needs.

About Us

Bioinformatics group in College of Animal Science, Yangtze University, directed by Dr. Tinghua Huang

Selected research projects and research interests in recent five years.

  • GEREDB: Gene expression regulation database curated by mining abstracts from literature
  • K-walks: clustering gene-expression data using a K-means clustering algorithm optimised by random walks
  • Analysis the genetic regulation mechanism of miRNAs in Salmonella resistant pigs using binding site enrichment analytical method.

We study machine learning, data mining, bioinformatics, and their applications to animal genetics and microbial biology. The main focus of our current research is on developing advanced algorithms to help biologists keep pace with the unprecedented growth of genomics datasets available today and enable them to make full use of their massive, high-dimensional data for various biological enquiries. Our work is based on solid mathematical and statistical theories, and supported by National Science Foundation of China.

Learn More

Happy Clients


Years of experience


The mission of Tinghua Huang's bioinformatics laboratory

Further advance the interdisciplinary field of bioinformatics by conducting internationally recognized bioinformatics research in the broad areas of DNA and protein sequence analysis; Provide graduate-level bioinformatics educational training to produce graduates competitive at the regional, national, and international levels.

  • Computational analysis of gene regulatory regions.
  • Systems biology approaches for gene expression meta-analysis
  • Algorithmic development for analysis of Next-Generation sequencing data

The development of high throughput technologies has given rise to a wealth of information at system level including genome, epigenome, transcriptome, proteome and metabolome. However, it remains a major challenge to analysis the massive amounts of information and use it in an intelligent and comprehensive manner. To address this question, Dr. Tinghua Huang's group has focused on developing computational tools and resources to analyze and integrate large scale 'omics' datasets, which help researchers to understand how genes work together to comprise a specific biological process.


Our full Services and Information Catalog is your guide to Tinghua Huang's bioinformatics group.

Data Analysis

Microarray, deep-seq, chip-seq, and other high throughput data analysis

Proposal Review

Write review comments for NSF grant proposals, thesis, and journal articals

Script Development

Develop perl, python, R script for various data analysis applications

Code Review

Review perl, python, R, and C++ code, debug and revise existing source code

Webpage Design

Design and develop new webpages, review and revise existing webpages


Translate journal articl, thesis, project proposals to Englih or Chinese

Call To Action

Read our Papers with these big influencers of our tools on experment design, and get 100% free plan. Learn more about this here.

Install Now


Illustrations created by out tool

  • All
  • App
  • Card
  • Web

App 1


Card 2


Card 3



Students who are currently enrolled at Yangtze University Tinghua Huang's group can take advantage of our academic advising and use these pages to find information and resources. We encourage prospective and newly admitted students to browse this information as part of the application process and as you prepare to register for classes.

Tinghua Huang


Hong Xiao


Qi Tian


Zhen He



Our tool is available in open source and commercial editions and runs on the desktop (Windows, Mac, and Linux) or in a browser connected to our Server (Debian/Ubuntu, Red Hat/CentOS, and SUSE Linux).

Free Open Source

$0 / month

  • Source code
  • No support services
  • No guarantee
  • No update


$29 / month

  • Source code
  • Support services avaiable
  • Guarantee avaiable
  • Update avaiable

FAQ for Students

For students interested in our group, please read this FAQ before talking to me.