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. We invite the submission of published work in (but not limited to) the following two broad areas (and their subareas):

Area 1: Knowledge Discovery from Clinical Data

  • Extracting risk factors/symptoms of diseases form EHRs (electronic health records)
  • Generating lexicons/vocabularies of diseases of interest
  • Longitudinal analysis of temporal data in EHRs
  • EHR content summarization
  • Topic modeling of clinical text data
  • Pharmacogenomics and adverse events mining from EHR data
  • Multi-view learning of heterogeneous EHR data
  • Decision support tools for big EHR data
  • Visualization techniques to facilitate query and analysis of clinical data
  • Mining medical images
  • Privacy and security issues in mining genomic databases and EHR

Area 2: Knowledge Discovery from Biological Data

  • Structural bioinformatics
  • 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
  • Automated annotation of genes and proteins
  • Discovery of structural variations from next-generation sequencing (NGS) data
  • Discovery of genotype-phenotype associations
  • Building predictive models for complex phenotypes
  • Semantic web and ontology-driven data integration methods

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We require the submission of a published manuscript (at least in arXiv) along with additional supplemental or unpublished data, to highlight the work.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: