The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Panorama: A Targeted Proteomics Knowledge Base
Open accessAbstract
Panorama is a web application for storing, sharing, analyzing, and reusing targeted assays created and refined with Skyline,1 an increasingly popular Windows client software tool for targeted proteomics experiments. Panorama allows laboratories to store and organize curated results contained in Skyline documents with fine-grained permissions, which facilitates distributed collaboration and secure sharing of published and unpublished data via a web-browser interface. It is fully integrated with the Skyline workflow and supports publishing a document directly to a Panorama server from the Skyline user interface. Panorama captures the complete Skyline document information content in a relational database schema. Curated results published to Panorama can be aggregated and exported as chromatogram libraries. These libraries can be used in Skyline to pick optimal targets in new experiments and to validate peak identification of target peptides. Panorama is open-source and freely available. It is distributed as part of LabKey Server,2 an open source biomedical research data management system. Laboratories and organizations can set up Panorama locally by downloading and installing the software on their own servers. They can also request freely hosted projects on https://panoramaweb.org , a Panorama server maintained by the Department of Genome Sciences at the University of Washington.
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Cites
Skyline: an open source document editor for creating and analyzing targeted proteomics experiments
MacLean, B., Tomazela, D. M., Shulman, N., Chambers, M., Finney, G. L., Frewen, B., Kern, R., Tabb, D. L., Liebler, D. C., & MacCoss, M. J. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq054 · Cited by 4,697
Self-citationGillet, L. C., Navarro, P., Tate, S., Röst, H., Selevsek, N., Reiter, L., Bonner, R., & Aebersold, R. (2012) · Molecular & Cellular Proteomics · doi:10.1074/mcp.o111.016717 · Cited by 2,877
Peterson, A. C., Russell, J. D., Bailey, D. J., Westphall, M. S., & Coon, J. J. (2012) · Molecular & Cellular Proteomics · doi:10.1074/mcp.o112.020131 · Cited by 1,288
Prakash, A., Tomazela, D. M., Frewen, B., MacLean, B., Merrihew, G., Peterman, S., & MacCoss, M. J. (2009) · Journal of Proteome Research · doi:10.1021/pr801028b · Cited by 147
Self-citationRapid empirical discovery of optimal peptides for targeted proteomics
Stergachis, A. B., MacLean, B., Lee, K., Stamatoyannopoulos, J. A., & MacCoss, M. J. (2011) · Nature Methods · doi:10.1038/nmeth.1770 · Cited by 110
Self-citation
Cited by
A proteomic atlas of senescence-associated secretomes for aging biomarker development
Basisty, N., Kale, A., Jeon, O. H., Kuehnemann, C., Payne, T., Rao, C., Holtz, A., Shah, S., Sharma, V., Ferrucci, L., et al. (2020) · PLOS Biology · doi:10.1371/journal.pbio.3000599 · Cited by 1,348
Self-citationThe Skyline ecosystem: Informatics for quantitative mass spectrometry proteomics
Pino, L. K., Searle, B. C., Bollinger, J. G., Nunn, B., MacLean, B., & MacCoss, M. J. (2020) · Mass Spectrometry Reviews · doi:10.1002/mas.21540 · Cited by 800
Self-citationKeenan, A. B., Jenkins, S. L., Jagodnik, K. M., Koplev, S., He, E., Torre, D., Wang, Z., Dohlman, A. B., Silverstein, M. C., Lachmann, A., et al. (2018) · Cell Systems · doi:10.1016/j.cels.2017.11.001 · Cited by 423
Self-citationVidova, V., & Spacil, Z. (2017) · Analytica Chimica Acta · doi:10.1016/j.aca.2017.01.059 · Cited by 352
Human SRMAtlas: A Resource of Targeted Assays to Quantify the Complete Human Proteome
Kusebauch, U., Campbell, D. S., Deutsch, E. W., Chu, C. S., Spicer, D. A., Brusniak, M.-Y., Slagel, J., Sun, Z., Stevens, J., Grimes, B., et al. (2016) · Cell · doi:10.1016/j.cell.2016.06.041 · Cited by 310
Metadata
- Authors
- Sharma, V., Eckels, J., Taylor, G. K., Shulman, N. J., Stergachis, A. B., Joyner, S. A., Yan, P., Whiteaker, J. R., Halusa, G. N., Schilling, B., Gibson, B. W., Colangelo, C. M., Paulovich, A. G., Carr, S. A., Jaffe, J. D., MacCoss, M. J., & MacLean, B.
- Venue
- Journal of Proteome Research
- Publisher
- American Chemical Society (ACS)
- Published
- 2014-08-18
- Volume
- 13
- Issue
- 9
- Pages
- 4205-4210
- ISSN
- 1535-3893 (ISSN-L)
- 1535-3907
- OpenAlex
- W1995403127
- Cited by
- 223
- References
- 5
- FWCI
- 9.25
- Type
- journal article
- Language
- en
- Open access
- hybrid
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
