Ontology for column naming in RNA-seq data
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4 days ago
JACKY ▴ 160

I am looking for an establish ontology that addresses the naming of RNA-seq data columns.

Specifically, I'm looking for guidance on naming columns related to cell types, treatments, tissues, and similar attributes. There must be an existing ontology for this purpose, as I'd prefer not to reinvent the wheel if someone has already developed a standard for it.

Is anyone familiar with such a thing ?

python scanpy anndata single-cell • 231 views
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It is unclear to me what you ask, please add examples.

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I’m looking for an existing ontology or standard that can help me consistently define column names in RNA-seq datasets, so I don’t have to invent my own naming scheme.

For example:

A column indicating cell types might be labeled as "cell_type," "cell.type," or simply "cells."

A column for treatments could be named "treatment," "treatment_group," or "condition." Other metadata columns might include labels like "time_point," "replicate_id," or "sample_name." Is there an ontology or standard that addresses this kind of column naming convention for RNA-seq or similar datasets?

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I've never seen any standard there, and frankly, people care about novel biology, not column names. Don't waste time figuring things like this out. Give it a name and move on analyzing the actual data.

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You could follow the guidelines provided by GEO/MIAME: https://www.ncbi.nlm.nih.gov/geo/info/MIAME.html There is a MISEQE standard but it was never formally accepted.

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