Thanks for the great AD data/resource. I have several questions regarding several studies: For these two multiomic AD studies ([Xiong et al](https://www.cell.com/cell/fulltext/S0092-8674(23)00974-1) and ([Liu et al](https://www.cell.com/cell/fulltext/S0092-8674(25)00733-0) I was looking to access the sc/snRNA-seq and snATAC-seq corresponding to their studies. I saw that their data is deposited here (for Xiong et al, snATAC https://www.synapse.org/Synapse:syn66271521 and snMultiome https://www.synapse.org/Synapse:syn66271522, and for Liu et al, https://www.synapse.org/#!Synapse:syn52293417). For both studies, it seems there are multiple possorted\_bam.bam/fragments.tsv.gz that appear to correspond to different subsets (donor or tissue?) of the data (e.g. D19-122585.fragments.tsv.gz or 231019KelA\_AG3.gex\_possorted\_bam.bam). For these two studies, I was wondering, if there is preprocessed .h5ad or .h5mu (or something similar) files available, for both RNA/ATAC/multiome, that I can use to directly read in without combining multiple bam/fragment files? If not, are there any ROSMAP multiome/RNA+ATAC studies with processed h5ad/h5mu that I can directly use? Thanks in advance for the help and support. -Patrick

Created by Patrick Yu patricky
Hello Patrick, Thank you for your patience in getting this response out. I looked through the study files you linked above, and looked for associated files, but did not see preprocessed .h5ad or .h5mu files. However, I am tagging @zunpengliu (the uploader of the referenced data) to see if they have those files available and are able to share them. I did I search for other ROSMAP multiome data with processed h5ad/h5mu files using the AD Knowledge Portal search function (filtering by ROSMAP study and file format). I found a filename m19-v2-m23-v2--m23-m24-b22-djg24-multiome-fixed-annotated_compressed_restricted_metadata.h5ad (syn66047085) that was part of the ROSMAP-Compass count data (https://www.synapse.org/Synapse:syn65460889). I am not sure if this is what you are looking for but it might be worth taking a look. Jessica

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