TrypTag: Genome-wide subcellular protein localisation in Trypanosoma brucei.

<p>TrypTag genome-wide protein localisation project data. Widefield epifluorescence microscope images of protein subcellular localisation in the unicellular eukaryotic pathogen <em>Trypanosoma brucei</em> by endogenous tagging with mNeonGreen (mNG). This master deposition includes a summary of the localisations, scripts, code and primer sequences&nbsp;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 <a href="http://tryptag.org/">TrypTag.org</a>.</p> <p>If you use this data resource please cite Billington <em>et al.</em> 2023 <em>Nature Microbiology </em>(<a href="https://doi.org/10.1038/s41564-022-01295-6">doi:10.1038/s41564-022-01295-6</a>). 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.</p> <p>Data can&nbsp;be mined via the cellular localization imaging or cellular component GO term searches&nbsp;at the genome database <a href="https://tritrypdb.org/">TriTrypDB.org</a> (part of <a href="https://veupathdb.org/">VEuPathDB</a>). If you do, please also&nbsp;<a href="https://tritrypdb.org/tritrypdb/app/static-content/about.html">cite</a> the genome database.</p> <p>You may also find the following papers informative: Dean <em>et al.</em> 2016 <em>Trends in Parasitology</em> (<a href="https://doi.org/10.1016/j.pt.2016.10.009">doi:10.1016/j.pt.2016.10.009</a>), which describes the original project aims and workflow. Halliday <em>et al.</em> 2019 <em>Molecular and Biochemical Parasitology</em> (<a href="https://doi.org/10.1016/j.molbiopara.2018.12.003">doi:10.1016/j.molbiopara.2018.12.003</a>), which describes the localisation ontology with example images and comparison to <em>Leishmania</em>.</p>