Discovering altered regulation and signaling through network-based integration of transcriptomic, epigenomic, and proteomic tumor data
© 2018, Springer Science+Business Media LLC. With the extraordinary rise in available biological data, biologists and clinicians need unbiased tools for data integration in order to reach accurate, succinct conclusions. Network biology provides one such method for high-throughput data integration, b...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Springer New York
2021
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| Online Access: | https://hdl.handle.net/1721.1/133259 |
| _version_ | 1826211715636789248 |
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| author | Kedaigle, AJ Fraenkel, E |
| author_facet | Kedaigle, AJ Fraenkel, E |
| author_sort | Kedaigle, AJ |
| collection | MIT |
| description | © 2018, Springer Science+Business Media LLC. With the extraordinary rise in available biological data, biologists and clinicians need unbiased tools for data integration in order to reach accurate, succinct conclusions. Network biology provides one such method for high-throughput data integration, but comes with its own set of algorithmic problems and needed expertise. We provide a step-by-step guide for using Omics Integrator, a software package designed for the integration of transcriptomic, epigenomic, and proteomic data. Omics Integrator can be found at http://fraenkel.mit.edu/omicsintegrator. |
| first_indexed | 2024-09-23T15:10:23Z |
| format | Article |
| id | mit-1721.1/133259 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T15:10:23Z |
| publishDate | 2021 |
| publisher | Springer New York |
| record_format | dspace |
| spelling | mit-1721.1/1332592021-10-28T03:26:17Z Discovering altered regulation and signaling through network-based integration of transcriptomic, epigenomic, and proteomic tumor data Kedaigle, AJ Fraenkel, E © 2018, Springer Science+Business Media LLC. With the extraordinary rise in available biological data, biologists and clinicians need unbiased tools for data integration in order to reach accurate, succinct conclusions. Network biology provides one such method for high-throughput data integration, but comes with its own set of algorithmic problems and needed expertise. We provide a step-by-step guide for using Omics Integrator, a software package designed for the integration of transcriptomic, epigenomic, and proteomic data. Omics Integrator can be found at http://fraenkel.mit.edu/omicsintegrator. 2021-10-27T19:51:49Z 2021-10-27T19:51:49Z 2018-01-01 2021-09-02T18:27:09Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/133259 en 10.1007/978-1-4939-7493-1_2 Methods Mol Biol Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Springer New York PMC |
| spellingShingle | Kedaigle, AJ Fraenkel, E Discovering altered regulation and signaling through network-based integration of transcriptomic, epigenomic, and proteomic tumor data |
| title | Discovering altered regulation and signaling through network-based integration of transcriptomic, epigenomic, and proteomic tumor data |
| title_full | Discovering altered regulation and signaling through network-based integration of transcriptomic, epigenomic, and proteomic tumor data |
| title_fullStr | Discovering altered regulation and signaling through network-based integration of transcriptomic, epigenomic, and proteomic tumor data |
| title_full_unstemmed | Discovering altered regulation and signaling through network-based integration of transcriptomic, epigenomic, and proteomic tumor data |
| title_short | Discovering altered regulation and signaling through network-based integration of transcriptomic, epigenomic, and proteomic tumor data |
| title_sort | discovering altered regulation and signaling through network based integration of transcriptomic epigenomic and proteomic tumor data |
| url | https://hdl.handle.net/1721.1/133259 |
| work_keys_str_mv | AT kedaigleaj discoveringalteredregulationandsignalingthroughnetworkbasedintegrationoftranscriptomicepigenomicandproteomictumordata AT fraenkele discoveringalteredregulationandsignalingthroughnetworkbasedintegrationoftranscriptomicepigenomicandproteomictumordata |