Functional genomics repository (FILER) is a functional genomics database developed by NIAGADS with the most comprehensive harmonized, extensible, indexed, searchable human functional genomics data collection across >40 data sources:

  • One place to access all data: query by tissue/cell type, biosample type, assay, data type, data collection
  • Useful for reproducible research
  • Integration with high-throughput genetic and genomic analysis workflows
  • Harmonized data, uniform, consistent data formats
123,775
Genomic Tracks
132.9 billion
Genomic intervals
13.6 trillion
Base pairs
4,533x
Genomic coverage

FILER Workflow

Getting Started

To get started, click on the Search to search by genomic coordinates or rsID, upload and analyze your own data (BED), or click Browse to explore FILER functional genomics datasets and annotations. See Download to download FILER datasets. See Deploy to install FILER on your local server or a cloud computing instance.

The Summary page provides an overview of FILER data contents by primary data sources, tissue and cell type categories, genomic feature type categories and experimental assays.

The About page provides details on FILER data source curation, data pre-processing and annotation.

If you use FILER in your research, please cite the FILER paper as well as the original publications producing the raw data and aknowledge the funding that they received (see Acknowledgments document).

News

Oct 18, 2024 FILER v2 release: full set of FILER 2.0 tracks FILER v2.0 download

Citation & data use

External data users may freely download, analyze and publish results based on any FILER data.

If you use FILER functional genomics database in your research, please cite:

 

Kuksa PP, Leung YY, Gangadharan P, Katanic Z, Kleidermacher L, Amlie-Wolf A, Lee C-Y, Qu L, Greenfest-Allen E, Valladares O, Wang L-S (2022) FILER: a framework for harmonizing and querying large-scale functional genomics knowledge. NAR Genomics Bioinformatics. https://doi.org/10.1093/nargab/lqab123

as well as the orginal publications producing the raw data and aknowledge the funding that they received (see also Data acknowledgements tab)

Funding

National Institute on Aging [U24-AG041689, U54-AG052427, U01-AG032984].