Kiniry, SJ and Judge, C. 2022. skiniry/Trips-Viz. [Online]. Github. Available from: https://github.com/skiniry/Trips-Viz
Kiniry, SJ and Judge, C. skiniry/Trips-Viz [Internet]. Github; 2022. Available from: https://github.com/skiniry/Trips-Viz
Kiniry, SJ and Judge, C (2022). skiniry/Trips-Viz. [Data Collection]. Github. https://github.com/skiniry/Trips-Viz
Description
Trips-viz is a transcriptome browser designed to visualize Ribosome profiling and RNA-seq data at the level of a single gene/transcript isoform as opposed to at the genome level. Trips-viz also provides you the ability to vizualize data from a gene under different conditions, get meta-information at an individual dataset level such as read length distribution or triplet periodicity, and provides the ability to find differentially expressed or translated genes.
Keywords
| Data capture method | Other | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Date (Date published in a 3rd party system) | 9 March 2022 | ||||||||
| Geographical area covered (offline during plugin upgrade) |
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| Language(s) of written materials | English |
| Data Creators | Kiniry, SJ and Judge, C |
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| LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology (-2023) |
| Research Centre | Centre for the Mathematical Modelling of Infectious Diseases |
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
| Date Deposited | 14 Jun 2022 13:10 |
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| Last Modified | 26 Nov 2024 13:37 |
| Publisher | Github |
