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Description
Only implement if required by one of the projects.
- support download of count matrices/processed data from e.g., GEO
- support download from URLs
- Metadatamapping by DM
- For annotation DM recently developed a Python package that makes it easier to download metadata from the SRA https://github.com/dmalzl/metadatamapping. It currently only supports biosample metadata but also has code for extracting specific sample data from the ARCHS4 so for expression data it might come in handy.
- EGA
- NCBI and Genbank
- xrootd?
- NCBI tools
- Encode
- Human cell atlas data portal
- ArchS4 for GEO count matrices
- MetaSRA all GEO metadata
- CZ: CellxGene (single-cell data from HCA and Chan Zuckerberg)
- https://www.biorxiv.org/content/10.1101/2023.10.30.563174v1
- Census
- R: https://chanzuckerberg.github.io/cellxgene-census/articles/2023/20230808-r_api_release.html
- python version also exists (probably faster)
- Elixier data platform
- UK Biobank released WGS of 500k individuals
- And for GEO, if it could also support the --ngc flag
- https://www.ncbi.nlm.nih.gov/sra/docs/sra-dbgap-download/
- NGC (NCBI Genome Collections) refers to a credential file format used by the NCBI (National Center for Biotechnology Information) to provide authorized access to controlled-access genomic data, particularly from the dbGaP (database of Genotypes and Phenotypes) repository. The NGC file contains encrypted authentication credentials
- Human Aging and Longevity Landscape (HALL)
- The Compendium of Cancer Genome Aberrations (CCGA)
- Curated Cancer Cell Atlas (3CA) by Weizmann Institute
- Mendelian Randomization web platform
- ReGEO: Restructured Gene Expression Omnibus
- scPerturb - Single Cell Perturbation Datasets
- PerturBase: a comprehensive database for single-cell perturbation data analysis and visualization
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