Volume 13 Supplement 8
Highlights of the 1st IEEE Symposium on Biological Data Visualization (BioVis 2011)
Research
Edited by Jessie Kennedy and Jos Roerdink
BioVis 2011 was sponsored by the IEEE VGTC and IEEE TCCLS. BioVis 2011 is affiliated with the ISCB and in-cooperation with the ACM SIG Bioinformatics.
1st IEEE Symposium on Biological Data Visualization (BioVis 2011). Go to conference site.
Providence, RI, USA23-24 October 2011
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Citation: BMC Bioinformatics 2012 13(Suppl 8):S1
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iHAT: interactive Hierarchical Aggregation Table for Genetic Association Data
In the search for single-nucleotide polymorphisms which influence the observable phenotype, genome wide association studies have become an important technique for the identification of associations between gen...
Citation: BMC Bioinformatics 2012 13(Suppl 8):S2 -
RuleBender: integrated modeling, simulation and visualization for rule-based intracellular biochemistry
Rule-based modeling (RBM) is a powerful and increasingly popular approach to modeling cell signaling networks. However, novel visual tools are needed in order to make RBM accessible to a broad range of users, ...
Citation: BMC Bioinformatics 2012 13(Suppl 8):S3 -
HiTSEE KNIME: a visualization tool for hit selection and analysis in high-throughput screening experiments for the KNIME platform
We present HiTSEE (High-Throughput Screening Exploration Environment), a visualization tool for the analysis of large chemical screens used to examine biochemical processes. The tool supports the investigation...
Citation: BMC Bioinformatics 2012 13(Suppl 8):S4 -
VIPER: a visualisation tool for exploring inheritance inconsistencies in genotyped pedigrees
Pedigree genotype datasets are used for analysing genetic inheritance and to map genetic markers and traits. Such datasets consist of hundreds of related animals genotyped for thousands of genetic markers and ...
Citation: BMC Bioinformatics 2012 13(Suppl 8):S5 -
OmicsVis: an interactive tool for visually analyzing metabolomics data
When analyzing metabolomics data, cancer care researchers are searching for differences between known healthy samples and unhealthy samples. By analyzing and understanding these differences, researchers hope t...
Citation: BMC Bioinformatics 2012 13(Suppl 8):S6 -
NetMets: software for quantifying and visualizing errors in biological network segmentation
One of the major goals in biomedical image processing is accurate segmentation of networks embedded in volumetric data sets. Biological networks are composed of a meshwork of thin filaments that span large vol...
Citation: BMC Bioinformatics 2012 13(Suppl 8):S7 -
An eQTL biological data visualization challenge and approaches from the visualization community
In 2011, the IEEE VisWeek conferences inaugurated a symposium on Biological Data Visualization. Like other domain-oriented Vis symposia, this symposium's purpose was to explore the unique characteristics and r...
Citation: BMC Bioinformatics 2012 13(Suppl 8):S8
Annual Journal Metrics
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Citation Impact 2023
Journal Impact Factor: 2.9
5-year Journal Impact Factor: 3.6
Source Normalized Impact per Paper (SNIP): 0.821
SCImago Journal Rank (SJR): 1.005
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