Happy RGscout-ing RGscout

Some Resin Glycosides found in Plants*
Image source: Moghe G, Irfan M, and Sarmah B (2023) Dangerous sugars: Structural diversity and functional significance of acylsugar-like defense compounds in flowering plants. Current Opinion in Plant Biology 73, 102348. doi:10.1016/j.pbi.2023.102348

Execute

*Note: Please ensure correct file type Show/hide note details

*Note: The webserver will not work with extensions other than ones specified. Use sample files, if necesary, to edit and make necessary changes using spreadsheet software. Please ensure that the parameter file to upload has .tab extension and not .txt



Download (Zipped) Processed Files

*Warning !! All the user data will be removed from the server's memory

Welcome to RGscout: A shiny-ing Resin Glycoside mining tool


Webtool (for non programmers) to mine 'Resin Glycosides' information from MS data -

- A simple online shiny avatar of Resin Glycoside pipeline developed at Moghelab -

1. Upload MGF data : Upload the MGF files (*.mgf) for each samples.

Sample MGF file

2. Upload PEAK AREA data : Upload the Area files (*.txt) for each samples.

Sample Area (txt) file

3. Upload the PARAMETER tab file : Provide a 'Tab-delimited' parameter files (with *.tab) or edit the sample parameter file with your new parameters.

Sample Parameter (tab) file

4. Download ZIPPED results : Voila!! The download button lets user extract the Resin Glycosides information (along with user input) in compressed (zip) file.


Still not sure how to proceed? Watch the tutorial video about how to operate this application using metabolome data.


Want to know more about this simple-to-use online shiny application, its capabiities and how it lets user investigate Resin Glycosides from metabolome data?

Tutorial (PDF)

Frequently Asked Questions


1. What is RGscout and how is it different from the Resin Glycoside pipeline ?

RGscout is an online webserver to mine resin glycoside-like signals from MS-DIAL-processed LC-MS datasets. This server impliments the scripts in the resin glycosides identification pipeline described in Kruse et al., Horticulture Research, 2022 (GitHub link). To change any part of this pipeline, users can downoad the scripts from the above GitHub link, where instructions to implement the pipeine on users' own Unix operating systems are described.

2. How to cite RGscout?

If you have used RGscout, please consider citing the following reference that describes this work:

  • Kruse LH, Bennett AA, Mahood EH, Lazarus E, Park SJ, Schroeder F, and Moghe GD (2022) Illuminating the lineage-specific diversification of resin glycoside acylsugars in the morning glory (Convolvulaceae) family using computational metabolomics. Horticulture Research 9(22), uhab079. doi:10.1093/hr/uhab079
  • Baruah VJ, and Moghe GD (2024) RGscout (Version 1)[Webserver]. https://tools.moghelab.org/webapp/RGscout/. Data retrieved on: 2024-12-22
  • Kruse LH, Bennett AA, Baruah VJ, Irfan M, and Moghe GD (2024, under review) Extraction, annotation, and purification of resin glycosides from the morning glory family (Convolvulaceae). Methods in Molecular Biology doi: pending

3. How to contact us with your questions and suggestions?

Please provide us with as much information as possible so that we can recreate the problem. Useful things to include are:

  • State if it is a problem with the RGscout server or the local Resin Glycoside Pipeline software installation/execution.
  • Input data sufficient to recreate the problem.
  • Details of the web browser and the version?

Many questions are also covered in the Resin Glycoside Pipeline documentation, so it may be worth browsing them before posting an issue.