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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 the 1980s, the Next Generation Sequencing (NGS) became the most significant game-changer in the fields of biology and medicine. In the Laboratory of Evolutionary Bioinformatics, we, a bunch of scientists and engineers, focus on the junction of microbiology and bioinformatics using the large-scale genomic, metagenomic and human microbiome data. Our goal is to understand the evolutionary mechanisms of microbial speciation and diversification, which have implications for antibiotic resistance, the emergence of novel pathogens and human health.

Current projects

Understanding the mechanism of bacterial evolution.
In 2009, we reported that the short-term evolution of bacterial species largely attributes to lateral gene transfer (LGT). It is, therefore, important to detect the LGT events among major pathogens and their underlying mechanisms. By applying various algorithms and statistical methodologies to large genome data, we are in a better position to understand the whole picture of bacterial evolution and diversity than ever before.

Exploring metagenomic and microbiome data.
In recent years, many studies clearly indicate that human microbiome, particularly gut microbiome, is the key to understand and manage human health. Various types of diseases are known to be associated with the gut bacterial community. We focus on improving how we analyze microbiome data, particularly metagenomic NGS data by applying up-to-date algorithms. These include those for machine learning and deep learning.

Providing software tools and databases to the scientific community.
We believe that one of the key roles of bioinformaticians is to provide adequate software tools and databases for the scientific community. Over the years, we deployed and published a series of software tools and databases that can be used for microbiologists and people working in the field of infectious diseases. The list is given at http://www.ezbiocloud.net/tools. At present, we work on web-based bacterial genome browser and tools for bacterial classification and phylogeny.


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.

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.


E-mail : jchun@snu.ac.kr

Telephone : 02-876-8153

Our lab members

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

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.

Jae Woo Kim

PhD Candidate

I like bananas.

Han Jae Heung

PhD Candidate

Beautiful is better than ugly.

Ji Hyen Kim

PhD Candidate

Life is like a box of chocolates.

Previous members

We'll miss you!.

Seok Hwan Yoon


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

Sang-Cheol Park


I'm a froot loop in a world of cheerios.

Ki Hyun Lee


Keep calm and think of shirtless Jacob.

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