NAR Genomics and BioinformaticsBioinformaticsPeer-reviewed journal article
FILER: large-scale, harmonized FunctIonaL gEnomics Repository
Pavel P. KuksaiD, Yuk Yee LeungiD, Prabhakaran Gangadharan, Živadin Katanić, Lauren Elizabeth KleidermacheriD, Alexandre Amlie‐WolfiD, Chien‐Yueh LeeiD, Liming QuiD, Emily Greenfest‐AlleniD, Otto ValladaresiD, Li‐San WangiD
Abstract
MotivationQuerying massive collections of functional genomic and annotation data, linking and summarizing the query results across data sources and data types are important steps in high-throughput genomic and genetic analytical workflows. However, accomplishing these steps is difficult because of the heterogeneity and breadth of data sources, experimental assays, biological conditions (e.g., tissues, cell types), data types, and file formats. ResultsFunctIonaL gEnomics Repository (FILER) is a large-scale, harmonized functional genomics data catalog uniquely providing: 1) streamlined access to >50,000 harmonized, annotated functional genomic and annotation datasets across >20 integrated data sources, >1,100 biological conditions/tissues/cell types, and >20 experimental assays; 2) a scalable, indexing-based genomic querying interface; 3) ability for users to analyze and annotate their own experimental data against reference datasets. This rich resource spans >17 Billion genomic records for both GRCh37/hg19 and GRCh38/hg38 genome builds. FILER scales well with the experimental (query) data size and the number of reference datasets and data sources. When evaluated on large-scale analysis tasks, FILER demonstrated great efficiency as the observed running time for querying 1000x more genomic intervals (106 vs. 103) against all 7x109 hg19 FILER records increased sub-linearly by only a factor of 15x. Together, these features facilitate reproducible research and streamline querying, integrating, and utilizing large-scale functional genomics and annotation data. Availability and implementationFILER can be 1) freely accessed at https://lisanwanglab.org/FILER, 2) deployed on cloud or local servers (https://bitbucket.org/wanglab-upenn/FILER), and 3) integrated with other pipelines using provided scripts. Contactlswang@pennmedicine.upenn.edu
- assay: DNA methylation
- assay: ChIP-seq
- assay: CUT&Tag
- assay: ATAC-seq
- research focus: database / resource
- research focus: benchmarking
- approach: statistical model
- approach: benchmark study
- Citations
- 17
- FWCI
- 1.22
- Field percentile
- top 23%
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