The 2nd International Workshop on

Computational Network Biology: Modeling, Analysis, and Control
(CNB-MAC 2015)


September 9, 2015
GeorgiaTech Global Learning Center

Atlanta, GA



In conjunction with ACM-BCB 2015
ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics

September 9-12, 2015









CNB-MAC 2015 technical program is now available. You can download the program from the following link: [Download CNB-MAC 2015 program]

We look forward to seeing you in Atlanta!





Call for Papers




Next generation high-throughput profiling technologies have enabled more systematic and comprehensive studies of living systems. Network models play crucial roles in understanding the complex interactions that govern biological systems, and their interactions with external environment. The inference and analysis of such complex networks and network-based analysis of large-scale measurement data have already shown strong potentials for unveiling the key mechanisms of complex diseases as well as for designing improved therapeutic strategies. At the same time, the inference and analysis of complex biological networks pose new exciting challenges for computer science, signal processing, control, and statistics. The 2nd International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC 2015), which will be held in conjunction with ACM-BCB 2015, aims to provide an international scientific forum for presenting recent advances in computational network biology that involve modeling, analysis, and control of biological systems under different conditions, and systematic analysis of large-scale OMICS data.


CNB-MAC 2015 solicits (1) highlights that present advances in the field that have been reported in recent journal publications; (2) original research papers that report new research findings that have not been published elsewhere, which will be published in a partner journal (to be announced); and (3) abstract submissions for poster presentation at the workshop, which will provide an excellent venue for quick dissemination of the latest research results in computational network biology. The main emphasis of the workshop will be on rigorous mathematical or computational approaches in studying biological networks, analyzing large-scale OMICS data, and investigating mathematical models for human-microbiome-environment interactions.



Topics of Interest include (but are not limited to):


             Inference of biological networks

             Modeling and simulation of biological networks

             Multi-scale modeling of human-microbiome-environment interactions

             Network-based analysis of OMICS data

             Network dynamics and network control

             Detection, modeling, and analysis of regulatory modules in biological networks

             Network-based prediction of drug response and potential drug targets

             Pathways and networks in complex diseases

             Incorporation of prior knowledge in biological system and data analysis






Paper and Abstract Submission




All paper and abstract submissions should be made through the EasyChair online submission system:




Research Papers



CNB-MAC welcomes original research papers that have not been published before and are not currently under review by another conference or journal. Accepted full papers will be published as a regular paper in the EURASIP Journal on Bioinformatics and Systems Biology (EBSB), and at the same time, the authors will be invited to present their work at CNB-MAC 2015. Research papers should follow the EBSB formatting guideline (see EBSB paper formatting guidelines at: All papers should be submitted to (1) EasyChair ( as well as (2) EBSB online submission system (




Poster Abstracts



We invite authors to submit poster abstracts to present their latest research findings at the workshop. Submissions should include the poster title, a 250-word abstract describing the main results, the list of authors, their affiliations, and their contact information.







We also invite the submission of abstracts of papers that have been published in a peer-reviewed journal after January 1, 2014 or papers that are in press at the time of submission. Submissions must include the title and abstract of the paper, its full citation information, and a link to the full paper on the journal website. The submission should also include the list of authors, their affiliations, and their contact information.




Important Dates




             Paper submission deadline: July 17, 2015 July 31, 2015

             Paper acceptance notification: August 3, 2015 August 7, 2015

             Poster abstract submission deadline: August 7, 2015 August 3, 2015

             Poster acceptance notification: August 14, 2015 August 7, 2015

             Highlight submission deadline: August 7, 2015

             Highlight acceptance notification: August 14, 2015





Keynote Speaker







Dr. Shuzhao Li


Assistant Professor

Associate Director of Clinical Biomarkers Laboratory

Department of Medicine, Emory University


Brief Biography:


Dr. Li received his BA from Sichuan University, China and Ph.D from University of Southern Mississippi, USA. He has been combining computational developments with metabolomics and systems biology. His work in human immunology applied large-scale data integration and network modeling to delineate transcriptomic programs for antibody response induced by several vaccines. These are early steps towards quantitative and systems modeling of human immunity, which is an integral part of most human diseases. His mummichog software brought genome-scale metabolic models into the field of high throughput metabolomics, and enabled pathway/network analysis for untargeted metabolomics. He strives to bring these scientific developments to personalized and precision medicine


Keynote Title:  Multi-omics Modeling for Systems Medicine




Human disease is the result of interaction between genomics and environment. The recent rise of metabolomics fills in a major gap in deep phenotying and understanding the function of genomics, and gauging environmental exposures. However, there are enormous challenges to understand and model these new data. We showed that known metabolic networks can facilitate rapid interpretation of high-throughput metabolomics without prior annotation. Such progress makes immediate impact to population based studies. We will present examples and methodologies of modeling metabolomics and transcriptomics in healthy and disease cohorts, as well as in mechanistic studies. These approaches will play a key role in the development of personalized and precision medicine.













Program Chairs





Dr. Byung-Jun Yoon


Department of Electrical and Computer Engineering

Texas A&M University, College Station, TX, USA


College of Science and Engineering

Hamad bin Khalifa University (HBKU), Doha, Qatar




Dr. Xiaoning Qian


Department of Electrical and Computer Engineering

Texas A&M University, College Station, TX, USA



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Dr. Tamer Kahveci


Department of Computer and Information Science and Engineering

University of Florida, Gainesville, FL, USA







Program Committee




Ferhat Ay

Northwestern University



Ulisses Braga-Neto

Texas A&M University



Lori Dalton

Ohio State University



Noushin Ghaffari

AgriLife Genomics and Bioinformatics



Yufei Huang

University of Texas at San Antonio



Ivan Ivanov

Texas A&M University



Yuan Ji

University of Chicago



Tamer Kahveci

University of Florida



Gunnar Klau




Rui Kuang

University of Minnesota



Zhandong Liu

Baylor College of Medicine



Ranadip Pal

Texas Tech University



Xiaoning Qian

Texas A&M University



Peng Qiu

Georgia Institute of Technology



Arvind Rao

M. D. Anderson Cancer Center



Erchin Serpedin

Texas A&M University



Yang Shen

Texas A&M University



Golnaz Vahedi

National Institutes of Health



Haris Vikalo

University of Texas at Austin



Byung-Jun Yoon

Texas A&M University



Mohammadmahdi Rezaei Yousefi

Ohio State University






Last update: Aug 30, 2015