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
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.
Microarray, deep-seq, chip-seq, and other high throughput data analysis
Write review comments for NSF grant proposals, thesis, and journal articals
Develop perl, python, R script for various data analysis applications
Review perl, python, R, and C++ code, debug and revise existing source code
Design and develop new webpages, review and revise existing webpages
Translate journal articl, thesis, project proposals to Englih or Chinese
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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.
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FAQ for Students
For students interested in our group, please read this FAQ before talking to me.
Will I get financial support if joining the group?
In general, yes (including undergraduate students).
It seems the group uses a lot of mathematics. Do I have enough backgrounds?
Yes. We don't expect you to have such knowledge. However, for any new materials, you must be able to learn them by yourselves. BTW, we run many experiments, so programming ability is also very important.
Does the group mainly use unix-type computers for programming?
Yes. Our members might not be familiar with such systems in the beginning, but they quickly catch up (by themselves).
What is really needed for being a member of this group?
Creativity to think about different directions and courage to try things.
Is it necessary to work very hard?
Definitely not. We judge you by your research results but not by how hard you have worked.
So roughly speaking what type of students are very suitable for this group?
Those who are enthusiastic about doing research. In general, if you would like to be a great researcher in the future, then this group is more suitable for you.
Is there any difference for PhD, master, and undergraduate students in the group?
No. They are all treated as PhD students.
Will you give me a specific problem to work on?
Yes and no. Good research problems come from active discussion. As I am more experienced than you, through discussion I may be able to identify some good topics for you. So if no discussion, no good topics.
I am an undergraduate student. Is it possible to finish some great work in my senior year?
Possible but a bit difficult. So usually we encourage undergraduate students to join the group as early as possible.
I am an undergraduate student in the group. May I assume that I can stay in the group for my graduate study?
No. You need to talk to me first. Otherwise, we assume that you are leaving the group after your undergraduate study.
For any paper I write, must my advisor be a co-author?
No. The authorship of a paper is related to the contribution rather than the group you are associated with. Here are a few situations that you may write a paper without my name on it. 1) Without my guidence, you finish some excellent work and write a paper. Then of course I shouldn't be a co-author. I always hope that this happens sometime, but so far our students need some my help on both the research work as well as writing. 2) You work with another group and write a paper with them. If I am not involved in this work, then of course I shouldn't be a co-author.
I would like to audit in your group meeting. Is this ok?
You are very welcome.
Will I be allowed to play games in the lab?
Yes at any time. We hope you feel like at your home.
There is a big snoopy in the lab. Could I hold her and sleep on the sofa?
The same as the previous question. But you may have found her sitting on my lap.