Alexandra Lee DNAnexus Team
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Recent activity by Alexandra Lee
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Hi Akhil, Thanks for sharing this, it looks like its how you're defining your file path names using strings in the python notebook, which is different than bash. Hope this helps
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Hi Akhil, Would you mind providing some screenshots to further clarify what you're doing/what issue you're running into. Thanks
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Thanks so much for sharing this Ondrej! I love that you can programmatically generate these phenotypic datasets. Alternatively, it seems that you can also use `dx extract_dataset` with a single nod...
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Maybe try installing your packages in an RStudio notebook using the Jupyter Lab Tool instead. The version of R used in jupyter lab is 4.2.0 (rlang version 1.0.6) instead of R in RStudio is 4.1.1 (r...
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This is answered in a separate post here: https://community.dnanexus.com/s/question/0D582000001ewWWCAY/could-you-please-offer-the-list-of-field-names-for-all-proteins-so-that-we-can-download-all-th...
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Hello, Here is a list of the field names for all proteins in "olink_instance_0" dataset: https://github.com/dnanexus/UKB_RAP/blob/main/proteomics/field_names.txt Here is a link to how you can progr...
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Are you asking about how to run REGENIE across multiple phenotypes? Using the current version of regenie within swiss-army-knife, I think you can use the `phenoColList` or `phenoExcludeList` if you...
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Hi Rosemary, Unfortunately it appears that `umount` doesn't work in the terminal in RStudio, as you've found. Thank you for bringing this to our attention - we will make a note of this and work to ...
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Something like `dx extract_dataset` should work. While dx extract_dataset doesn't require using a spark node, depending on the size of the data/number of fields you may need to use a spark node htt...
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As Racheal mentioned, you used entity title instead of entity name when you tried to extract the data which is why our original approach didn't work. To see the list of entity names and titles you ...
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