With the advancement in next-generation molecular technology in generating the high-throughput “omics” data, life science has come to the era of “big data”. To extract biological knowledge from the data and translate it into benefits for society (e.g. better medicine and healthcare), novel and advanced computational tools are needed for data analysis. The current trends are to leverage AI and application of cognitive computing that combines domain knowledge with machine learning.
Call For Papers
The call for paper targets contribution in the field of computational approaches designed to face the challenges aroused by biological systems. It aims at giving an overview of the cutting-edge methods and tools to address biological systems. CSBio 2021 would like to invite researchers and industrial counterparts to meet at this event to exchange ideas and stimulate research collaborations.
Topics of Interest
Topics of interest include, but are not limited to:
Adaptive computation in bioinformatics
Bio-data visualization
Bio-inspired computing
Biological network reconstruction and analysis
Biomarker discovery
Computational systems biology
Coronavirus disease
Disease classification
DNA, RNA and protein sequence analysis
Drug discovery and validation
Epigenetics/epigenomics
Epidemiology
Formal validation of biological systems
Functional genomics
Gene expression analysis
Health informatics
Human-centric applications
Medical and biomedical informatics
Metagenomics data analysis
Modeling and simulation of biological processes, pathways, etc.
Molecular evolution and phylogeny
Next-generation and Third-generation sequencing
Parallel and distributed computing for life science
Population genetics
Proteomics & other omics
Protein folding
Translational bioinformatics
Special session: COVID-19 Health, Analytics, and Technologies (CHAT-2021)
A Special Session on COVID-19 Health, Analytics, and Technologies (CHAT-2021) will provide an opportunity for global research linkages and experience sharing. We cordially invite researchers to submit and share their works related to COVID-19.
An example of the topics of interest is COVID-19 Infected Region Segmentation. We would like to invite researchers to tackle the problem of lung segmentation on chest X-ray images that is an important task for image analysis and computer-aided diagnosis. Examples of the dataset are
The participants are encouraged to submit a quality publication based on these datasets to CSBio 2021. The publications can be in the form of a full paper or extended paper.
Noted that other topics related to COVID-19 are welcome.
Please specify that the submission is for (COVID-19 SS) in the submission system.
Important date
Important Date
Paper/Extended Abstract/Short Paper submission deadline
30 June 2021 31 July 2021 31 August 2021
Paper notification
14 July 2021 5 August 2021 10 September 2021
Camera-ready deadline
20 September 2021
Date of conference
October 14 – 15 2021 (Fully virtual conference)
Submission Guidelines
Submitted papers should describe original work that does not overlap with papers that have been published or that are simultaneously submitted to a journal, conference, or workshop with refereed proceedings.
Papers should be written in English, formatted according to the ACM SIG style (sigconf template). Full papers needs to be at least 5 pages and should not exceed 10 pages and must be submitted via EasyChair system. Short papers of up to 4 pages may be considered as well as extended abstracts of up to 2 pages.
Papers must be submitted electronically as PDF files via EasyChair. The limit for submissions is 10 pages. References and appendices will not be counted in the page limit during the initial submission process.
All submissions will be peer-reviewed and subjected to single-blind review process by at least two reviewers; full submissions will be reviewed by at least three reviewers. All accepted papers must be presented at the conference via a video recording; the presenter or a representative must attend virtually at the allocated time slot for Q&A.
Proceedings
The CSBio 2021 proceedings will be published in electronic form by ACM ICPS, which is indexed by Scopus, ISI Web of Science, EI Compendex, and other major databases, and will be available at the ACM Digital Library.
The ISBN number assigned to CSBio2021 is 978-1-4503-8510-7.
Selected paper will be proposed for further extension and published in the Journal of Bioinformatics and Computational Biology, indexed by ISI, Scopus indexed.
Commitee
International Advisory Committee
Jonathan H Chan, King Mongkut's University of Technology Thonburi, Thailand
Richard F Wintle, The Hospital for Sick Children, Canada
David Ussery, University of Arkansas for Medical Sciences, USA
Sissades Tongsima, National Biobank of Thailand, National Science and Technology Development Agency, Thailand
General Co-Chairs
Kitsuchart Pasupa, King Mongkut's Institute of Technology Ladkrabang
Chee Keong Kwoh, Nanyang Technological University
Program Co-Chairs
Sansanee Auephanwiriyakul, Chiang Mai University
Nipon Theera-umpon, Chiang Mai University
Publication Co-Chairs
Navadon Khunlertgit, Chiang Mai University
Chawan Manaspon, Chiang Mai University
Organizing Chairs
Nont Kanungsukkasem, King Mongkut's Institute of Technology Ladkrabang
Vithida Chongsuphajaisiddhi, King Mongkut’s University of Technology Thonburi
Financial Chair
Pattanapong Chantamit-O-Pas, King Mongkut's Institute of Technology Ladkrabang
Secretary
Sirasit Lochanachit, King Mongkut's Institute of Technology Ladkrabang
Webmaster
Chayanon Sub-r-pa, King Mongkut's Institute of Technology Ladkrabang
International Program Committee
Mohammad-Kawsar Sharif-Siam, Centre for Molecular Informatics, Department of Chemistry, University of Cambridge
Yuriy Orlov, Institute of Cytology and Genetics
Yoichi Takenaka, Kansai University
Osamu Maruyama, Kyushu University
Daisuke Kihara, Purdue University
Guang Hu, Soochow university
Sorayya Malek, University of Malaya
Saowalak Kalapanulak, School of Bioresources and Technology, King Mongkut's University of Technology Thonburi
Shunsuke Aoki, Kyushu Institute of Technology
Tatsuya Akutsu, Kyoto University
Kengo Kinoshita, Tohoku University
Jittisak Senachak, National Center for Genetic Engineering and Biotechnology
Alberto Policriti, Universita di Udine
Anne Siegel, IRISA
Carla Piazza, Universita di Udine
Delphine Ropers, INRIA Grenoble-Rhone-Alpes
Elisabetta De-Maria, Universite Cote d'Azur
Géraldine Jean, University of Nantes
Hiroshi Matsuno, Biopathway Analysis Center University Yamaguchi
Ivan Cimrak, University of Zilina
Jamil Ahmad, University of Malakand
Joelle Despeyroux, INRIA & CNRS
Chee-Keong Kwoh, School of Computer Science and Engineering, Nanyang Technological University
Sylvain Soliman, INRIA Saclay-Ile-de-France
Thana Sutthibutpong, King Mongkut's University of Technology Thonburi
Thao Dang, CNRS/VERIMAG
Verena Wolf, Saarland University
Khushbu Patel, The Children’s Hospital of Philadelphia
Keynote Speakers
Dr. David Ussery
University of Arkansas for Medical Sciences, USA
Topic : The three waves of the Covid-19 pandemic hints at a limited genetic repertoire of SARS-CoV-2
Abstract : The genomic diversity of SARS-CoV-2 is the result of a relatively low level of spontaneous mutations that are introduced during viral replication. We can now begin to assess the overall genetic repertoire of this virus, based on the multitude of genome sequences that have been generated for SARS-CoV-2 during the current pandemic. During 2020, a global wave of one variant remained largely unnoticed, possibly because of its members being divided over several sub-lineages (B.1.177 and sub-lineages B.1.177.XX). We collectively call this Janus, and it represents a pivotal change in the dynamics of the pandemic. Janus created a first wave of a dominant variant, after it was eventually replaced by the variant of concern (VoC) Alpha (B.1.1.7), which in turn has now been replaced by Delta (B.1.617.2). These variants, together with the VoCs Beta (B.1.351) and Gamma (P.1) were compared here, and the presence of their conserved mutations in the complete dataset was assessed. Approximately five percent of the 30,000 nucleotides of the SARS-CoV-2 genome can be variable; it seems that the overall genetic repertoire of SARS-CoV-2 is nevertheless relatively limited, with parallel evolution occurring on a large scale. This may be limiting the immunogenic repertoire of the virus.
Dr. David Ussery
Dr. David Ussery
University of Arkansas for Medical Sciences, USA
Bio:
Professor David Ussery was born and raised in Springdale, Arkansas. He has been working with bioinformatic analysis of bacterial genomes since the first sequence was published in 1995, and published one of the first text books in the field of Comparative Genomics. His team has published more than 200 papers, which have been cited more than 15,000 times, including three papers with more than a thousand citations. He has been a co-applicant on grants funded totaling more than $30 million, since 2010. His popular course on Comparative Genomics, taught at The Technical University of Denmark from 1997 - 2015, is now taught in the spring semesters at UAMS; one-week workshops based on this course have been held in North and South America, Europe, Asia, and Africa. Prof. Ussery has collaborative projects with groups in Belgium, Denmark, France, Germany, The Netherlands, Norway, Spain, Sweden, and the UK, as well as in the U.S.
Prior to joining UAMS, Dr. Ussery was the Comparative Genomics Group lead at Oak Ridge National Labs, in Oak Ridge, Tennessee (2013-2016). He led the Comparative Microbial Genomics group at The Technical University of Denmark from 1997 – 2013, where he has successfully supervised more than 20 Ph.D. students in bioinformatics.
Prof. Ussery received a doctorate in Molecular Biology in1993 from The University of Cincinnati College of Medicine and did a post-doctoral fellowship at Oxford University (1992-1996). He earned his master’s degree in biophysical chemistry at the University of New Mexico in Albuquerque. He earned a bachelor’s degree in chemistry from William Jewell College (Liberty, Missouri) in 1982, and graduated from Springdale High School (Springdale, Arkansas) in 1978.
Organized by
Organizer
IEEE Computational Intelligence Society Thailand Chapter
Co-Organizer
Faculty of Information Technology, King Mongkut's Institute of Technology Ladkrabang (KMITL), Thailand
Co-Organizer
Biomedical Engineering Institute, Chiang Mai University, Thailand
Co-Organizer
School of Information Technology, King Mongkut's University of Technology Thonburi (KMUTT), Thailand