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Welcome to LEB

Living organisms are distinguished by their specified complexity.
-Leslie Orgel

About us

After the invention of PCR in 1980s, the Next Generation Sequencing (NGS) platform became the most significant invention in scientific research institutions. It provides huge amounts of sequencing data compared to any other sequencing platforms. However, professional computing skills, Bioinformatics skills, are needed in order to process and analyze big data. Not only computing skills but also knowledge of Biology is required to find meaningful analysis and interpretation of sequencing data. The research in our laboratory is focused on issues in today’s medical and biological field by producing and analyzing NGS data. Moreover, we challenge to invent software and database that can assist in analyzing data. We believe that it would be the most rewarding if we can contribute others’ research in science field by providing our software.

Details of our Research

1. Microbial diversity and evolution: Microorganisms went through evolution for more than 3 billion years to have today’s genetic variety, but mankind only started to understand this by virtue of NGS technology. However, what we were able to learn so far is only a small portion of the world of Microorganisms. Although researchers all over the world are collecting massive amounts of data, we are yet to comprehend this data as a big picture. Our laboratory’s goal is to resolve this issue. The EzTaxon database, which our lab developed, is used throughout the world by researchers as a standard to identify and categorize bacteria. EzTaxon was referenced more than 2000 times since 2007 (top 0.01% in the field according to Joongang Daily), and it has been reported that its published paper was the most cited in the field of microorganism in South Korea during the past 10 years. We are currently expanding the project by building Databases for Fungi and other Taxa since EzTaxon is only for Bacteria. We are also developing a Database that will cover global microorganism diversity and distribution. We are expecting to understand the Global scale microbial diversity for the first time in history from this research.

As stated in our published study (Chun et al., 2009; PNAS), bacteria’s evolution process not only involves mutations but also heavily relies on a mechanism called Lateral Gene Transfer (LGT), where organisms share genes or gene clusters with each other. Due to this discovery it is necessary to revise the concept of Species in Bacteria which was being used for the past 100 years. This research is in progress by comparative genomics between tens of thousands of genome data. Additionally, the project involves building a large database, developing appropriate algorithms, and improving the computation speed, which might take up to hundreds of years, by applying various state of the art Information Technologies. On top of that, we are conducting a research on the pattern and mechanism of Antibiotics resistance spreading which has recently become a problem.

2.Cancer genomics: Cancer can be simply defined as a disease caused by mutated cells that have an uncontrolled rate of cell division. But cancer research is not as simple as its definition. Such complication is due to the different types of mutation and genetic diversity. Our lab is currently working on a variety of research projects, which involves the development of database and algorithms to provide better analytic power for the treatment and the diagnostics. We use the data from RNA-Seq, Exome, and Whole genome sequencing.

Web visual development

Standalone application development

Bioinformatic Analyses

Jon Jongsik Chun

Professor at the School of Biological Sciences, College of Natural Sciences, Seoul National University.

Educational Background

1991.10 - 1995.12 Ph.D. : Microbiology, Newcastle University, the United Kingdom.

1986.3 - 1990.2 Bachelor. : 서울대학교 미생물학과.

See recent publications

Research Interests

  • Genomics and Bioinformatics.
  • Comparative Genomics of Pathogens.
  • Bioinformatics for Next Generation Sequencing (Pyrosequencing, Solexa).
  • Global microbial geography using high throughput amplicon sequencing.
  • Metagenomics and human microbiome.

Contact

E-mail : jchun@snu.ac.kr

Telephone : 02-876-8153

Our lab members

Bioinformaticians are not anti-social; we are just genome friendly.

Seok Hwan Yoon

PhD Candidate

The biggest adventure I can ever take is to live the life of my dreams.

Sang-Cheol Park

PhD Candidate

Getting better and better.

Im Chang Lee

PhD Candidate

Where there's a will there's a way.

Hyun Seok Oh

PhD Candidate

Veritas Lux Mea.

In Woo Baek

PhD Candidate

Carpe diem.

Sung Min Ha

PhD Candidate

Moderation in discipline is failure.

Yeong Ouk Kim

PhD Candidate

The problem with quotes found on the internet is that they are often not true. -Abraham Lincoln.

Mauricio Chalita

PhD Candidate

Talk is cheap, show me the code .

Sung In Na

PhD Candidate

La Dolce Vita.

Young Jae Hur

PhD Candidate

Questions are never indiscreet. Answers sometimes are.

Kim Jae Woo

PhD Candidate

I like bananas.

Han Jae Heung

PhD Candidate

Beautiful is better than ugly.

Contact Us

Let's have a BLAST.

How to join:

Our lab members are students with Biology or Computer Science (Engineering) backgrounds. Since Bioinformatics require both Biology and Computer Science knowledge, we advise you to put some time into studying the field you are unfamiliar with before joining the lab. Biology students will have to learn how to use Linux, at least one major programming language (Our Lab mainly uses Java), databases (MySQL as an example) and statistics while Computer Science students will have to study General Biology and Molecular Biology. We offer internships to people who wish to join our lab. SNU students our given the option to take this internship as a course as well. We look for qualities like motivation, intellectual curiosity and most importantly sincerity from applicants. If you are interested in joining our lab please send me your transcript, resume and a self-introduction to me through jchun@snu.ac.kr.

Contact us

  • 151-742 서울시 관악구 관악로 1 서울대학교 유전공학연구소 105동 306호
  • 02-876-8153
  • jchun@snu.ac.kr