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Title: BactoGeNIE: A large-scale comparative genome visualization for big displays

The volume of complete bacterial genome sequence data available to comparative genomics researchers is rapidly increasing. However, visualizations in comparative genomics--which aim to enable analysis tasks across collections of genomes--suffer from visual scalability issues. While large, multi-tiled and high-resolution displays have the potential to address scalability issues, new approaches are needed to take advantage of such environments, in order to enable the effective visual analysis of large genomics datasets. In this paper, we present Bacterial Gene Neighborhood Investigation Environment, or BactoGeNIE, a novel and visually scalable design for comparative gene neighborhood analysis on large display environments. We evaluate BactoGeNIE through a case study on close to 700 draft Escherichia coli genomes, and present lessons learned from our design process. In conclusion, BactoGeNIE accommodates comparative tasks over substantially larger collections of neighborhoods than existing tools and explicitly addresses visual scalability. Given current trends in data generation, scalable designs of this type may inform visualization design for large-scale comparative research problems in genomics.
 [1] ;  [2] ;  [1] ;  [1] ;  [3]
  1. Univ. of Illinois, Chicago, IL (United States)
  2. Argonne National Lab. (ANL), Argonne, IL (United States); Univ. of Hawai'i at Manoa, Honolulu, HI (United States)
  3. Univ. of Hawai'i at Manoa, Honolulu, HI (United States)
Publication Date:
OSTI Identifier:
Grant/Contract Number:
CNS-0959053; OCI-0943559; NSF CAREER IIS-1541277
Accepted Manuscript
Journal Name:
BMC Bioinformatics
Additional Journal Information:
Journal Volume: 16; Journal Issue: Suppl 11; Journal ID: ISSN 1471-2105
BioMed Central
Research Org:
Argonne National Laboratory (ANL), Argonne, IL (United States)
Sponsoring Org:
USDOE; National Science Foundation (NSF)
Country of Publication:
United States
59 BASIC BIOLOGICAL SCIENCES; 97 MATHEMATICS AND COMPUTING comparative Genomics; large displays; visualization