User: EduardoFox
EduardoFox • 10
- Reputation:
- 10
- Status:
- New User
- Location:
- IBCCF / UFRJ
- Website:
- https://www.researchga...
- Twitter:
- ofoxofox
- Scholar ID:
- Google Scholar Page
- Last seen:
- 8 months, 3 weeks ago
- Joined:
- 9 months, 4 weeks ago
- Email:
- o*******@gmail.com
I am an entomologist, working on ants. I use R for data analysis, but I am no experienced bioinformatician. Quite limited programming skills. I try to do my best though.
Posts by EduardoFox
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... I thought of Github Pages to host my tables, but apparently no shiny code works directly from there.
In the example you provided, do you think it would be possible to have the app running directly from Gihub Pages? ...
written 8 months ago by
EduardoFox • 10
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... It is one very large table. The main interactive features are exactly filters and multi-paging to facilitate perusing the data. Like in the link, I think. Yes, I can provide the large table as well, but I believe very few readers do take the time to appreciate Supplementary data if it is not both at ...
written 8 months ago by
EduardoFox • 10
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... Perhaps I could, under ideal conditions. But as a postdoc in the 3rd world I think getting the department to set up a server for me will be quite hard. I will speak to my collaborators, nonetheless. ...
written 8 months ago by
EduardoFox • 10
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... I want to publish a transcriptome paper, along with interactive materials enabling readers to peruse the data behind the discussion. The R package 'plotly' enables rendering online-publishable tables that can be filtered & searched for specific entries.
I would like to publish such a table as s ...
written 8 months ago by
EduardoFox • 10
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... Thanks for testing the download ! However you will see that the downloaded page is just what already shows in the screen, which I could easily get by selecting all and pasting to a text editor. I'd like to download the detailed results for *each queried protein* which you can only see by directly cl ...
written 9 months ago by
EduardoFox • 10
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... I have just started using BlastKOALA KEGG which has been
useful in annotating (aminoacid) sequences. This is their
website:
https://www.kegg.jp/blastkoala/
When you get results, there are links for downloading. However these
links will not download all detailed query search results,
but just genera ...
written 9 months ago by
EduardoFox • 10
• updated
9 months ago by
lelle • 800
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