The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
NetworkAnalyst 3.0: a visual analytics platform for comprehensive gene expression profiling and meta-analysis
Open accessAbstract
The growing application of gene expression profiling demands powerful yet user-friendly bioinformatics tools to support systems-level data understanding. NetworkAnalyst was first released in 2014 to address the key need for interpreting gene expression data within the context of protein-protein interaction (PPI) networks. It was soon updated for gene expression meta-analysis with improved workflow and performance. Over the years, NetworkAnalyst has been continuously updated based on community feedback and technology progresses. Users can now perform gene expression profiling for 17 different species. In addition to generic PPI networks, users can now create cell-type or tissue specific PPI networks, gene regulatory networks, gene co-expression networks as well as networks for toxicogenomics and pharmacogenomics studies. The resulting networks can be customized and explored in 2D, 3D as well as Virtual Reality (VR) space. For meta-analysis, users can now visually compare multiple gene lists through interactive heatmaps, enrichment networks, Venn diagrams or chord diagrams. In addition, users have the option to create their own data analysis projects, which can be saved and resumed at a later time. These new features are released together as NetworkAnalyst 3.0, freely available at https://www.networkanalyst.ca.
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Cites
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Cited by
Pang, Z., Zhou, G., Ewald, J., Chang, L., Hacariz, O., Basu, N., & Xia, J. (2022) · Nature Protocols · doi:10.1038/s41596-022-00710-w · Cited by 1,444
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Kar, S. P., Quiros, P. M., Gu, M., Jiang, T., Mitchell, J., Langdon, R., Iyer, V., Barcena, C., Vijayabaskar, M. S., Fabre, M. A., et al. (2022) · Nature Genetics · doi:10.1038/s41588-022-01121-z · Cited by 377
Maternal exposure to polystyrene nanoplastics causes brain abnormalities in progeny
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Barcoded viral tracing of single-cell interactions in central nervous system inflammation
Clark, I. C., Gutiérrez-Vázquez, C., Wheeler, M. A., Li, Z., Rothhammer, V., Linnerbauer, M., Sanmarco, L. M., Guo, L., Blain, M., Zandee, S. E. J., et al. (2021) · Science · doi:10.1126/science.abf1230 · Cited by 285
Metadata
- Authors
- Zhou, G., Soufan, O., Ewald, J., Hancock, R. E. W., Basu, N., & Xia, J.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2019-04-01
- Volume
- 47
- Issue
- W1
- Pages
- W234-W241
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W2935024989
- Cited by
- 1,899
- References
- 36
- FWCI
- 59.51
- Type
- journal article
- Language
- en
- Open access
- gold
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- Zhou, G., Soufan, O., Ewald, J., Hancock, R. E. W., Basu, N., & Xia, J. (2019). NetworkAnalyst 3.0: a visual analytics platform for comprehensive gene expression profiling and meta-analysis. Nucleic Acids Research. https://doi.org/10.1093/nar/gkz240
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