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BIOKDD 2020 : 19th International Workshop on Data Mining in Bioinformatics (with SIGKDD 2020)Conference Series : Data Mining in Bioinformatics | |||||||||||||||
Link: http://home.biokdd.org/biokdd20/ | |||||||||||||||
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Call For Papers | |||||||||||||||
CFP: 19th International Workshop on Data Mining in Bioinformatics (with SIGKDD'20)
---------------------------------------------------------------------------------- BIOKDD 2020 in Conjunction with SIGKDD 2020 San Diego, CA - USA August 24, 2020 http://home.biokdd.org/biokdd20/ INTRODUCTION ---------------- BIOKDD'20 invites KDD researchers to solve problems in Bioinformatics, Medical and Health Informatics. It is a full-day workshop embracing SIGKDD 2020's Health Day. BIOKDD has been successfully held in conjunction with SIGKDD for 18 years, and this year's encouraged theme is Battling COVID-19. We will have a series of invited talks by world-renowned experts on their recent and on-going COVID-19 research. We will also invite healthcare professionals fighting at the front line of COVID-19 pandemic from countries that succeed at flattening the curve (such as China and South Korea) to share their experience. COVID-19 RESPONDING ------------------------ Given the uncertainty caused by COVID-19 outbreak, we will work with SIGKDD'20 organizers to investigate feasible options such as a virtual workshop, or a mix of virtual and in-person workshop. We will ensure the quality of digital workshop experience. PUBLICATION OPTION ----------------------- As a tradition of BIOKDD, accepted original submissions will be invited to publish in IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB). TOPICS OF INTEREST ---------------------- Topics of interest include (but are not limited to): * Research that battles COVID-19 * Bioimage analysis, single-cell analysis * Biological network visualization * Information visualization and visual analytics for biomedical data * Development of deep learning methods for biological and clinical data * Novel methods and frameworks for mining and integrating big biological data * Discovering biological networks and pathways underlying biological processes and diseases * Analysis, discovery of biomarkers and mutations, and disease risk assessment * Comparative genomics * Metagenome analysis using sequencing data * RNA-seq and microarray-based gene expression analysis * Genome-wide analysis of non-coding RNAs * Genome-wide regulatory motif discovery * Structural bioinformatics * Automated annotation of genes and proteins * Discovery of structural variations from next-generation sequencing (NGS) data * Correlating NGS with proteomics data analysis * Discovery of genotype-phenotype associations * Building predictive models for complex phenotypes * Functional annotation of genes and proteins * Cheminformatics * Special biological data management techniques * Privacy and security issues in mining genomic databases * Information visualization and visual analytics for biomedical data * Predictive modeling for personalized treatment * Semantic web and ontology-driven data integration methods * Text mining for biomedical literature and clinical notes * Information retrieval for healthcare and Biomedical applications * Biomedical signal analysis and processing * Intelligent medical data management * Collaboration technologies for biomedicine * Social networks for biomedicine IMPORTANT DATES -------------------- Submission Due: May 20, 2020 Notification Date: June 15, 2020 Workshop Date: August 24, 2020 SUBMISSION GUIDELINES -------------------------- We solicit submission of papers in the following three categories: * Regular: original papers without duplicate submission. Papers should be at most 10 pages in length, and using ACM Proceedings Format (https://www.acm.org/publications/proceedings-template) is recommended. * Abstract: 1-page limit, for introducing preliminary research outcomes, with emphasis research effectiveness on real-world datasets. * Late-Breaking Research: submission of a published manuscript (at least in arXiv) along with additional supplemental/unpublished data, to highlight the work's impact. All papers will be peer-reviewed. If accepted, at least one author should attend the workshop (with a virtual option) to present their work. The papers should be in PDF format and submitted via EasyChair: https://easychair.org/conferences/?conf=biokdd20200 ORGANIZERS ------------- Program Co-Chairs: * Da Yan (University of Alabama at Birmingham) * Hong Qin (University of Tennessee at Chattanooga) * Hsiang-Yun Wu (TU Wien) General Chair * Jake Chen (University of Alabama at Birmingham) Steering Committee * Mohammed J. Zaki (Rensselaer Polytechnic Institute) CONTACT ---------- If you have questions regarding the workshop or need further information, please do not hesitate to contact the organizers at yanda@uab.edu |
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