[bioontology-support] [BioPortal] Feedback from gaurab.mukherjee at jax.org

[John Graybeal]

Hello,

Thank you for this input. I created an issue (https://github.com/ncbo/bioportal-project/issues/1910) to capture it.

BioPortal has an obscure feature that might meet your needs. When you are logged in, visit Account Settings (the drop-down under your account name). If you scroll to the end of that page, you will see a link under Custom Ontology Set that reads 'select ontologies'. If you click on this link, you will be able to see only the ontologies that you have selected.

There are a few documented side effects of using this setting: Any ontology with a view (ontology views are listed in the lower left of the ontology's summary page) is no longer viewable in the UI (https://github.com/ncbo/bioportal_web_ui/issues/36),. And once you set the list of custom ontologies you can't modify it; you can only delete all the ontologies and start over (https://github.com/ncbo/bioportal_web_ui/issues/51).

For your needs, this might be a good fit (or you could create a separate account just for this task and set its Custom Ontology Set).

John



On Nov 20, 2020, at 7:09 AM, support at bioontology.org<mailto:support at bioontology.org> wrote:


Name: gaurab.mukherjee at jax.org<mailto:gaurab.mukherjee at jax.org>

Email: gaurab.mukherjee at jax.org<mailto:gaurab.mukherjee at jax.org>

Location: https%3A%2F%2Fbioportal.bioontology.org<http://2Fbioportal.bioontology.org>%2Fsearch%3Fopt%3Dadvanced

Feedback:

Hi. This is a great tool. I have created a login account. I use advanced search to search for terms in only three ontologies, which are mouse adult anatomy (MA), Mammalian Phenotype (MP) and Vertebrate trait (VT). It would be much easier If I could save this set of three ontologies as a term, that I could pick to then search within this for my specific terms.

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========================
John Graybeal
Technical Program Manager
Center for Expanded Data Annotation and Retrieval /+/ NCBO BioPortal
Stanford Center for Biomedical Informatics Research
650-736-1632  | ORCID  0000-0001-6875-5360



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