11th International Workshop on Biological Knowledge Discovery from Big Data (BIOKDD'20)
September 14 - 17, 2020
Paper submission: March 16, 2020
- Notification of acceptance: May 20, 2020
- Camera-ready copies due: June 19, 2020
All accepted Workshops papers will be published in a volume of "Communications in Computer and Information Science" (CCIS) by Springer. All published papers will be indexed appropriately in all major indexes.
Selected papers will be extended for a possible publication in the Springer journal Transactions of Large Scale Data and Knowledge Centered Systems (TLDKS). Selected high-quality papers will be invited to be published, after revision and extension, in special issues of international journals.
In the recent years, there has been a rapid development of biological technologies producing more and more biological data, i.e., data related to biological macromolecules (DNA, RNA and proteins). The rise of Next Generation Sequencing (NGS) technologies, also known as high-throughput sequencing technologies, has contributed actively to the deluge of these data. In general, these data are big, heterogeneous, complex, and distributed in all over the world in databases. Analyzing biological big data is a challenging task, not only, because of its complexity and its multiple and numerous correlated factors, but also, because of the continuous evolution of our understanding of the biological mechanisms. Classical approaches of biological data analysis are no longer efficient and produce only a very limited amount of information, compared to the numerous and complex biological mechanisms under study. From here comes the necessity to adopt new computer tools and develop new in silico high performance approaches to support us in the analysis of biological big data and, hence, to help us in our understanding of the correlations that exist between, on one hand, structures and functional patterns in biological macromolecules and, on the other hand, genetic and biochemical mechanisms. Biological Knowledge Discovery from Big Data (BIOKDD) is a response to these new trends.
Topics of BIOKDD’20 workshop includes, but not limited to:
- Biological Big Data Cleaning (errors removal, redundant data removal, completion of missing data, …)
- Feature Extraction (motifs, subgraphs, …)
- Feature Selection (filter approaches, wrapper approaches, hybrid approaches, embedded approaches, …)
- Biological Big Data Clustering/Biclustering (microarray data biclustering, clustering/biclustering of biological sequences, …)
- Biological Big Data Classification (classification of biological sequences…)
- Association Rules Learning from Biological Big Data
- Text mining and Application to Biological Sequences
- Web mining and Application to Biological Big Data, Parallel
- Cloud and Grid Computing for Biological Big Data Mining
- Biological Nuggets of Knowledge Representation and Visualization
- Biological Nuggets of Knowledge Evaluation (calculation of the classification error rate, evaluation of the association rules via numerical indicators, e.g. measurements of interest, … )
- Biological Nuggets of Knowledge Integration
Authors are invited to electronically submit original research contributions or experience reports in English. Submitted papers should not exceed 5 pages in Springer CCIS format.
Formatting guidelines: http://www.dexa.org/formatting_guidelines
Online Papers Submission: to be announced
All accepted conference papers will be published in a volume of All accepted papers will be published by Springer in "Communications in Computer and Information Science (CCIS). Authors of all accepted papers must sign a Springer copyright release form. At least one of the authors of an accepted paper must register to DEXA’20 conference and present the paper at BIOKDD’20 workshop.