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Description
I need to merge my seurat data of 3 experimental time points with the Hippocampus data provided by loom edition. I merged my own data by using the merge command and do trajectory analysis using monocle. But I don't know how to convert this loom file to seurat object , so that I can merge them with my data and do next analysis.
The tutorial says that : Seurat offers a conversion function to go from Seurat objects to loom files. The reverse conversion is currently in progress.
Does it means that I could't convert loom file to seurat? So what should I do to merge them? Can you give me some advice?Thank you very much!
Activity
mschilli87 commentedon Mar 10, 2019
cross-post of satijalab/seurat#1218
mojaveazure commentedon Mar 11, 2019
Using the loom branch of Seurat, you should be able to convert a loom file to a Seurat object. However, as mentioned in #25, you shouldn't need to as Seurat can run most functions directly on a
loom
object.Sophia409 commentedon Mar 12, 2019
@mojaveazure Thank you for your reply,I follow your advice and download the the loom branch of Seurat ,but it still failed to convert this loom file to a Seurat object.Below is the code.

It seems that this loom edition is rare,and there is little help documentation about how to convert loom to seurat.I think maybe it is difficult to convert directly, but I couldn't be able to modify the convert function.)
Can you help me to convert this thalamus loom file to seurat object and show me the code? I 'm a beginner and really hope for your help.Thank you very much!
mojaveazure commentedon Mar 13, 2019
At the moment, our converters between Seurat and loom don't work, and we don't have an ETA for their replacement.
In the meantime, I would suggest reading the loompy documentation to learn how loom files are structured. Once you have an understanding of loom files, you can pull the data from the file and construct a Seurat object or any other kind of R object for analyzing the data. We also provide a tutorial that draws parallels between the loom and Seurat formats.