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    Share your research findings and results with us.

    Welcome experts and scholars in the fields of Bioinformatics from all over the world.

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    Submit your papers or abstracts to ICBRA 2019.

    You're welcome to submit research papers or abstracts for presentation and publication.

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    Extend communication and cooperation in Seoul.

    ICBRA 2019 which will be held in Seoul, South during December 19-21, 2019 provides platform for communication and cooperation.

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Keynote Speakers

Prof. Taesung Park
Seoul National University, South Korea

Prof. Taesung Park received his B.S. and M.S. degrees in Statistics from Seoul National University (SNU), Korea in 1984 and 1986, respectively and received his Ph.D. degree in Biostatistics from the University of Michigan in 1990. From Aug. 1991 to Aug. 1992, he worked as a visiting scientist at the NIH, USA. From Sep. 2002 to Aug. 2003, he was a visiting professor at the University of Pittsburgh. From Sep. 2009 to Aug. 2010, he was a visiting professor in Department of Biostatistics at the University of Washington. From Sep. 1999 to Sep. 2001, he worked as an associate professor in Department of Statistics at SNU. Since Oct. 2001 he worked as a professor and currently the Director of the Bioinformatics and Biostatistics Lab. at SNU. He served as the chair of the bioinformatics Program from Apr. 2005 to Mar. 2008, and the chair of Department of Statistics of SNU from Sep. 2007 and Aug. 2009. He has served editorial board members and associate editors for the international journals including Genetic Epidemiology, Computational Statistics and Data Analysis, Biometrical Journal, and International journal of Data Mining and Bioinformatics. His research areas include microarray data analysis, GWAS, gene-gene interaction analysis, and statistical genetics.

Prof. Hans-Uwe Dahms
Kaohsiung Medical University, Taiwan

Dr. Hans-Uwe Dahms is a professor at Kaohsiung Medical University. He is interested in stress responses in general and within aquatic systems in particular. He, his colleagues and students integratively study pollution and the toxicology of stressors from physical, chemical, and biological sources. He is equally interested in climate change, the spread of diseases, antibiotic-resistance, food and drink safety from water sources, and integra-tive approaches in environmental and public health monitoring, risk assessment and management. He advised more than 25 Ph.D. students in their research and published more than 275 papers in scientific journals. He served as a reviewer for more than 70 SCI journals, as editorial board member of 12 reputed scientific journals, academic editor of PLosONE, and as editor in chief of FRONTIERS in Marine Pollution.

Speech Title: "Evaluation of In silico Toxicity Predictions"

Abstract: Chemoinformatics represents a search for chemical information resources where data are typically transformed into information and this into technologies that allow to make decisions better and faster. Such in silico approaches refer to computer applications or computer simulations. In silico approaches in pollution studies can best be understood as chemoinformatics using informational techniques applied to a range of problems in the field of chemistry related to toxicology and the effects of pollutants. To provide an example for the evaluation of in silico approaches, we will introduce to food safety issues related to food preservatives, plasticizers, and artificial sweeteners. For such assessments SMILES of the above food additives will be taken from the PubChem database. By using MarvinSketch all chemicals presented here are based on structural data retrieved from PubChem. In silico predictive models generally provide fast and economic screening tools for compound properties. They allow a high throughput and a constant optimization. They are less expensive, less time consuming, have a high reproducibility, and reduce experimental efforts. Computational approaches can also prioritize chemicals for their toxicological evaluation in order to reduce the amount of costly in vitro and ethically problematic in vivo toxicological screenings, and provide early alerts for newly developed substances. Limitations include that ADME aspects (absorption, distribution, metabolism, and excretion – which are basic pharmacokinetic descriptors) are not taken into account. There can be a lack of quality and transparency of the training set of experimental data. The programs, descriptors, and applicabilities are sometimes not clear. In addition are carcinogenicity predictions not possible based on non-genotoxic compounds.

Prof. Sun Kim
Seoul National University, South Korea

Sun Kim is Professor in the School of Computer Science and Engineering, Director of Bioinformatics Institute, and an affiliated faculty for the Interdisciplinary Program in Bioinformatics at Seoul National University. Before joining SNU, he was Chair of Faculty Division C; Director of Center for Bioinformatics Research, an Associate Professor in School of Informatics and Computing; and an Adjunct Associate Professor of Cellular and Integrative Physiology, Medical Sciences Program at Indiana University (IU) Bloomington. Prior to joining IU in 2001, he worked at DuPont Central Research from 1998 to 2001, and at the University of Illinois at Urbana-Champaign from 1997 to 1998. Sun Kim received B.S and M.S and Ph.D in Computer Science from Seoul National University, KAIST and the University of Iowa, respectively.

Prof. Michael Greenacre
Universitat Pompeu Fabra, Spain

Michael Greenacre is Professor of Statistics at the Universitat Pompeu Fabra, affiliated to this university since 1994, where he teaches, among other courses, Data Visualization in the Master of Data Science. He has taught short courses in 15 countries. Author of over 100 peer-reviewed journal articles and book chapters, as well as 10 books, his most recent book is Compositional Data Analysis in Practice (Chapman& Hall / CRC Press, 2018), which is accompanied by the R package easy CODA. His recent research activities are centred around ecological research in the Arctic.


Invited Speakers

Name: Chuhsing Kate Hsiao

Affiliation: National Taiwan University, Taiwan

Title: Network Hub-Node Prioritization of Gene Regulation with Intra-Network Association


Name: Seungyoon Nam

Affiliation: Gachon University, South Korea

Title: Systems Biology in Early Drug Discovery


Name: Sungho Won

Affiliation: Seoul National University, South Korea

Title: Phylogenetic Tree-based Microbiome Association Test


Name: Yujin Chung

Affiliation: Kyonggi University, South Korea

Title: Bayesian Inference of Isolation-with-Migration Models from Genomic Data


Name: Minsun Song

Affiliation: Sookmyung Women's University, South Korea

Titlle :  Goodness of Fit Test at Extreme of Disease Risk Distribution


Name: Wonil Chung

Affiliation: Soongsil University, South Korea  

Title: Improving Polygenic Risk Prediction by Incorporating LD Information from Multi-Ethnic Biobank Data



Latest News

October 05, 2019


Welcome to join in the short course delivered by Professor Michael Greenacre on December 18-19, 2019.

September 30, 2019


With the request of many authors, the submission deadline for ICBRA 2019 has been extended to October 25.


July 25, 2019


Dr. Tae-Hyuk Ahn from Saint Louis University, USA and so on joined in ICBRA 2019 as Technical Committee.

Important Dates
Before October 25, 2019
On November 10, 2019
Before November 20, 2019


On December 19-21, 2019