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This is usually where we try and insist on the necessary pre-requisites explicitly.
For this lesson it might also be the opportunity for providing links to background material which are needed.
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Hi~Dr, thank you for your package.
I would like to ask, beluga model is pre-trained with hg19, while the scRNA-seq data is mapped to GRCh38 genome version, so is it effective and appropriate to use…
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Integration of single-cell transcriptomes and chromatin landscapes reveals regulatory programs driving pharyngeal organ development (https://www.nature.com/articles/s41467-022-28067-4)
The scRNA-se…
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Hi,
I have previously used Xenome to classify mouse reads from human reads from bulk PE RNA-seq data and the tool has worked very well. Now I would like to apply the same technique for scRNA-seq da…
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HI, thanks for your wonderful tools for spatial data annotation!!!!!!
I have tried one of the *.py script, when i attempt to run the *.py, I used the dnn_model provided by you. I wonder how can i tra…
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Hi @hxj5 , I have a question regarding 10X 5' scRNA-seq data.
For 5' sequencing, the read containing cell barcode and UMI contains part of the transcript https://kb.10xgenomics.com/hc/en-us/article…
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Relative to https://github.com/mc2-center/data-models/issues/49 and https://github.com/mc2-center/data-models/pull/66
Draft of the MC2 data model dictionary, using GitHub pages deployment, is here:…
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@aqzas @Huffyphenix ,
I am using CATT to extract TCR/BCR information from data from scRNA-seq of immune cells, involving more than 100 datasets. Your article gives a performance comparison of each to…
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Hello. Not really an issue but I'd like to reach out with a question as single-cell meta-analysis term is kind of new. I'm curious about what's the difference between the usual Single-cell integrated…
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https://doi.org/10.1101/262501
> Recent advances have enabled gene expression profiling of single cells at lower cost. As more data is produced there is an increasing need to integrate diverse data…