Published July 1, 2024 | Version 1.1
Dataset Open

DeepSeqDock Supporting Information: Datasets

  • 1. Department of Biomedical Engineering, University of South Dakota, Sioux Falls, SD 57107

Description

Exploratory data analysis reports and csv files for datasets used for testing the DeepSeqDock system. Datasets are subsets of the ARCHS4 dataset (see Lachmann, A., Torre, D., Keenan, A.B. et al. Massive mining of publicly available RNA-seq data from human and mouse. Nat Commun 9, 1366 (2018). https://doi.org/10.1038/s41467-018-03751-6; downloaded 11/24/2021). All metadata was mined from https://maayanlab.cloud/archs4/ (11/2021) or NCBI databases. 

ARCHS4 RNA-seq processing scripts and web server pages are published under the CC BY-NC-SA 4.0 DEED Attribution-NonCommercial-ShareAlike 4.0 International License. Please see ARCS4 License for more details. As a subset of the ARCHS4 dataset, this dataset is published under the same license. 

Dataset are derived from the human_matrix_v10.h5 file, available to download from the Ma'ayan lab. 

Notes

Unified metadata format

Files

Datasets.zip

Files (181.0 MB)

Name Size Download all
md5:7d5fe4e7674430a6c59475194093fcdb
5.3 MB Download
md5:ecb1b29e035706b45a85e6e25c5fab7c
7.0 MB Download
md5:29794af7ed1e10d329fb762353f8fe0d
157.4 MB Preview Download
md5:0cbd09716c5cc8ad4d0d447a6d845e63
4.4 MB Download
md5:b6263bc36d0c5acbdd70314383e548e8
6.8 MB Download

Additional details

Funding

U.S. National Science Foundation
NRT-UtB: University of South Dakota Neuroscience and Nanotechnology Network 1633213
U.S. National Science Foundation
RII Track-1: Building on The 2020 Vision: Expanding Research, Education and Innovation in South Dakota 1849206
U.S. National Science Foundation
RII Track-2 FEC: Data Driven Material Discovery Center for Bioengineering Innovation 1920954
U.S. National Science Foundation
MRI: Acquisition of the Lawrence Supercomputer to Advance Multidisciplinary Research in South Dakota 1626516
National Institute of Health
SOUTH DAKOTA BIOMEDICAL RESEARCH INFRASTRUCTURE NETWORK P20GM103443