Source code
- Front-end: https://github.com/OSU-BMBL/ssread/
- Back-end: https://github.com/OSU-BMBL/ssread-backend
- Processing workflow: https://github.com/OSU-BMBL/ssread/tree/master/script
- STAR Protocols: https://github.com/OSU-BMBL/ssread-protocol
Workflow tutorials
Please check the following GitHub link for full tutorials, including:
- Calculating overlapping DEGs from the same cell type across datasets
- Running ssREAD backend analysis workflow locally
https://github.com/OSU-BMBL/ssread-protocol
More methods details about the pipeline can be found in What is ssREAD’s scRNAseq pipeline? or What is ssREAD’s spatial transcriptomics pipeline?
scRNA-seq & snRNAseq and spatial datasets
IMPORTANT: If you are unable to download, please try to right click the ‘download’ link and select ‘save link as’.
#Handling .qsave
Files:The datasets may include files with the .qsave
extension. This is an object serialization format specific to the qs R package, optimized for performance when loading the Seurat object to replacing the h5seurat format. To load these files into your R environment, the qs package needs to be installed.
You can install and load the object in R with the following command:
#install.packages("qs")
data_obj <- qs::qread("path_to_your_qsave_file.qsave")
Note 1: The h5ad files are currently unavailable. We are actively working on making them available for download soon.
Note 2: Please be aware that access to the AD Knowledge Portal is subject to Controlled Use restrictions. For compliance with these restrictions, we have removed the counts’ matrix and log-normalized matrix from the Seurat object. The downloadable object now only contains scaled data and dimension reductions. If you require raw counts, please refer to the AD Knowledge Portal. For more information, please check the terms and conditions in AD Knowledge Portal Data Use Certificate (DUC). If you would like to use the following dataset, please include the following statement in your study:
- AD001 (syn18485175): The results published here are in whole or in part based on data obtained from the AD Knowledge Portal (https://adknowledgeportal.org). Samples for this study were provided by the Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago. Data collection was supported through funding by NIA grants P30AG10161, R01AG15819, R01AG17917, R01AG30146, R01AG36836, U01AG32984, U01AG46152, the Illinois Department of Public Health, and the Translational Genomics Research Institute.
- AD014 (syn21438358): Study data were provided by the Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago. Data collection was supported through funding by NIA grants P30AG10161 (ROS), R01AG15819 (ROSMAP; genomics and RNAseq), R01AG17917 (MAP), R01AG30146, R01AG36042 (5hC methylation, ATACseq), RC2AG036547 (H3K9Ac), R01AG36836 (RNAseq), R01AG48015 (monocyte RNAseq) RF1AG57473 (single nucleus RNAseq), U01AG32984 (genomic and whole exome sequencing), U01AG46152 (ROSMAP AMP-AD, targeted proteomics), U01AG46161(TMT proteomics), U01AG61356 (whole genome sequencing, targeted proteomics, ROSMAP AMP-AD), the Illinois Department of Public Health (ROSMAP), and the Translational Genomics Research Institute (genomic). Additional phenotypic data can be requested at www.radc.rush.edu.
- AD025 (syn23763409): The results published here are in whole or in part based on data obtained from the AD Knowledge Portal (https://adknowledgeportal.org). This study was funded through Alzheimer’s Association (2018-AARF-589154), National Institutes of Health (RF1AG055104, RF1AG051496), the Diana Davis Spencer Foundation and the following contributors: Hongtian Stanley Yang, Kristen D. Onos, Kwangbom Choi, Kelly J. Keezer, Daniel A. Skelly, Gregory W. Carter, and Gareth R. Howell.
- AD035 (syn26223298): The results published here are in whole or in part based on data obtained from the AD Knowledge Portal (https://adknowledgeportal.org/). Study data were generated from postmortem brain tissue obtained from the University of Washington BioRepository and Integrated Neuropathology (BRaIN) laboratory and Precision Neuropathology Core, which is supported by the NIH grants for the UW Alzheimer’s Disease Research Center (P50AG005136 and P30AG066509) and the Adult Changes in Thought Study (U01AG006781 and U19AG066567). This study is supported by NIA grant U19AG060909.
- AD041 (syn22079621): Although this is a non-AD Portal study with no apparent Acknowledgement Statements listed, please check the original data source for citation: https://www.synapse.org/Synapse:syn22079621
- AD047 (syn16780177): “Study data were provided by the Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago. Data collection was supported through funding by NIA grants P30AG10161 (ROS), R01AG15819 (ROSMAP; genomics and RNAseq), R01AG17917 (MAP), R01AG30146, R01AG36042 (5hC methylation, ATACseq), RC2AG036547 (H3K9Ac), R01AG36836 (RNAseq), R01AG48015 (monocyte RNAseq) RF1AG57473 (single nucleus RNAseq), U01AG32984 (genomic and whole exome sequencing), U01AG46152 (ROSMAP AMP-AD, targeted proteomics), U01AG46161(TMT proteomics), U01AG61356 (whole genome sequencing, targeted proteomics, ROSMAP AMP-AD), the Illinois Department of Public Health (ROSMAP), and the Translational Genomics Research Institute (genomic). Additional phenotypic data can be requested at www.radc.rush.edu.
[For snRNAseq Data:]
Study data were generated from postmortem brain tissue provided by the Religious Orders Study and Rush Memory and Aging Project (ROSMAP) cohort at Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago. This work was funded by NIH grants U01AG061356 (De Jager/Bennett), RF1AG057473 (De Jager/Bennett), and U01AG046152 (De Jager/Bennett) as part of the AMP-AD consortium, as well as NIH grants R01AG066831 (Menon) and U01AG072572 (De Jager/St George-Hyslop).” - AD048 and AD051 (syn52293417): The results published here are in whole or in part based on data obtained from the AD Knowledge Portal (https://adknowledgeportal.org/). Study data were generated from postmortem brain tissue provided by the Religious Orders Study and Rush Memory and Aging Project (ROSMAP) cohort at Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago. This work was supported in part by the Cure Alzheimer’s Fund, NIH grants AG058002, AG062377, NS110453, NS115064, AG062335, AG074003, NS127187, MH119509, HG008155 (M.K.), RF1AG062377, RF1 AG054321, RO1 AG054012 (L.-H.T.) and the NIH training grant GM087237 (to C.A.B.). ROSMAP is supported by P30AG10161, P30AG72975, R01AG15819, R01AG17917. U01AG46152, U01AG61356.
AD00101 | AD001 | According to note 2, we have removed the counts and normalized matrices for the download dataset | AD00101.qsave |
AD00102 | AD001 | According to note 2, we have removed the counts and normalized matrices for the download dataset | AD00102.qsave |
AD00103 | AD001 | According to note 2, we have removed the counts and normalized matrices for the download dataset | AD00103.qsave |
AD00104 | AD001 | According to note 2, we have removed the counts and normalized matrices for the download dataset | AD00104.qsave |
AD00105 | AD001 | According to note 2, we have removed the counts and normalized matrices for the download dataset | AD00105.qsave |
AD00106 | AD001 | According to note 2, we have removed the counts and normalized matrices for the download dataset | AD00106.qsave |
AD00107 | AD001 | According to note 2, we have removed the counts and normalized matrices for the download dataset | AD00107.qsave |
AD00108 | AD001 | According to note 2, we have removed the counts and normalized matrices for the download dataset | AD00108.qsave |
AD00109 | AD001 | According to note 2, we have removed the counts and normalized matrices for the download dataset | AD00109.qsave |
AD00110 | AD001 | According to note 2, we have removed the counts and normalized matrices for the download dataset | AD00110.qsave |
AD00201 | AD002 | 682.45 MB | AD00201.qsave |
AD00202 | AD002 | 17.63 MB | AD00202.qsave |
AD00203 | AD002 | 67.42 MB | AD00203.qsave |
AD00204 | AD002 | 49.72 MB | AD00204.qsave |
AD00205 | AD002 | 480.23 MB | AD00205.qsave |
AD00206 | AD002 | 767.75 MB | AD00206.qsave |
AD00301 | AD003 | 1137.86 MB | AD00301.qsave |
AD00302 | AD003 | 190.1 MB | AD00302.qsave |
AD00303 | AD003 | 33.62 MB | AD00303.qsave |
AD00304 | AD003 | 1268.28 MB | AD00304.qsave |
AD00305 | AD003 | 910.3 MB | AD00305.qsave |
AD00306 | AD003 | 1147.32 MB | AD00306.qsave |
AD00307 | AD003 | 139.73 MB | AD00307.qsave |
AD00308 | AD003 | 98.47 MB | AD00308.qsave |
AD00309 | AD003 | 70.09 MB | AD00309.qsave |
AD00401 | AD004 | 378.31 MB | AD00401.qsave |
AD00402 | AD004 | 249.24 MB | AD00402.qsave |
AD00403 | AD004 | 333.73 MB | AD00403.qsave |
AD00404 | AD004 | 117.46 MB | AD00404.qsave |
AD00405 | AD004 | 53.22 MB | AD00405.qsave |
AD00501 | AD005 | 8.32 MB | AD00501.qsave |
AD00502 | AD005 | 21.92 MB | AD00502.qsave |
AD00601 | AD006 | 14.91 MB | AD00601.qsave |
AD00602 | AD006 | 15 MB | AD00602.qsave |
AD00603 | AD006 | 16.31 MB | AD00603.qsave |
AD00604 | AD006 | 29.14 MB | AD00604.qsave |
AD00702 | AD007 | 35.77 MB | AD00702.qsave |
AD00703 | AD007 | 65.47 MB | AD00703.qsave |
AD00704 | AD007 | 48.29 MB | AD00704.qsave |
AD00705 | AD007 | 61.93 MB | AD00705.qsave |
AD00708 | AD007 | 90.13 MB | AD00708.qsave |
AD00709 | AD007 | 93.26 MB | AD00709.qsave |
AD00710 | AD007 | 32.61 MB | AD00710.qsave |
AD00711 | AD007 | 43.12 MB | AD00711.qsave |
AD00712 | AD007 | 45.98 MB | AD00712.qsave |
AD00713 | AD007 | 49.3 MB | AD00713.qsave |
AD00714 | AD007 | 47.41 MB | AD00714.qsave |
AD00715 | AD007 | 59.74 MB | AD00715.qsave |
AD00716 | AD007 | 54.74 MB | AD00716.qsave |
AD00717 | AD007 | 46.64 MB | AD00717.qsave |