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TrypTag genome-wide protein localisation project data. Widefield epifluorescence microscope images of protein subcellular localisation in the unicellular eukaryotic pathogen Trypanosoma brucei by endogenous tagging with mNeonGreen (mNG). This master deposition includes a summary of the localisations, scripts, code and primer sequences used to build the TrypTag database, provided in the master directory structure. It does not include any microscopy data, which are spread over multiple Zenodo DOIs. Instead, this deposition and the raw and processed data directories include an index linking gene IDs to each Zenodo DOI. Data can also be browsed at TrypTag.org. If you use this data resource please cite Billington et al. 2023 Nature Microbiology (doi:10.1038/s41564-022-01295-6). We recommend including this citation in the results or methods if TrypTag was used as part of a discovery process. If directly using TrypTag images, please also indicate in the figure legend or similar which images are from TrypTag. If carrying out a large-scale data analysis, please also cite this Zenodo deposition. Data can be mined via the cellular localization imaging or cellular component GO term searches at the genome database TriTrypDB.org (part of VEuPathDB). If you do, please also cite the genome database. You may also find the following papers informative: Dean et al. 2016 Trends in Parasitology (doi:10.1016/j.pt.2016.10.009), which describes the original project aims and workflow. Halliday et al. 2019 Molecular and Biochemical Parasitology (doi:10.1016/j.molbiopara.2018.12.003), which describes the localisation ontology with example images and comparison to Leishmania.
Add recommended TrypTag citation information.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 4 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
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