Call for Late-Breaking Research

The Late-Breaking Research track is a perfect place for bioinformatics researchers and medical informaticians to introduce their published work with exceptionally high practical significance, to further broaden the work's research impact and nurture collaborations. We invite the submission of published work in (but not limited to) the areas listed below:

  • 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
  • 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
  • Bioimage analysis, single-cell analysis
  • Biological network visualization
  • Information visualization and visual analytics for biomedical data
  • Research that battles COVID-19

Submission Guidelines

We require the submission of a published manuscript (at least in arXiv) along with additional supplemental or unpublished data, to highlight the work. It is recommended to include a cover letter to provide a checklist of all submitted documents. The manuscript should be in PDF format, and all files should be zipped and submitted through EasyChair at the following link: https://easychair.org/conferences/?conf=biokdd20210. The submissions will be judged for quality and relevance through single-blind reviewing.