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FILER: A framework for harmonizing and querying large-scale functional genomics knowledge

  • Pavel P. Kuksa
  • , Yuk Yee Leung
  • , Prabhakaran Gangadharan
  • , Zivadin Katanic
  • , Lauren Kleidermacher
  • , Alexandre Amlie-Wolf
  • , Chien Yueh Lee
  • , Liming Qu
  • , Emily Greenfest-Allen
  • , Otto Valladares
  • , Li San Wang

研究成果: 期刊貢獻文章同行評審

10 引文 斯高帕斯(Scopus)

摘要

Querying massive functional genomic and annotation data collections, linking and summarizing the query results across data sources/data types are important steps in high-throughput genomic and genetic analytical workflows. However, these steps are made difficult by the heterogeneity and breadth of data sources, experimental assays, biological conditions/tissues/cell types and file formats. FILER (FunctIonaL gEnomics Repository) is a framework for querying large-scale genomics knowledge with a large, curated integrated catalog of harmonized functional genomic and annotation data coupled with a scalable genomic search and querying interface. FILER uniquely provides: (i) streamlined access to >50 000 harmonized, annotated genomic datasets across >20 integrated data sources, >1100 tissues/cell types and >20 experimental assays; (ii) a scalable genomic querying interface; and (iii) ability to analyze and annotate user's experimental data. This rich resource spans >17 billion GRCh37/hg19 and GRCh38/hg38 genomic records. Our benchmark querying 7 × 109 hg19 FILER records shows FILER is highly scalable, with a sub-linear 32-fold increase in querying time when increasing the number of queries 1000-fold from 1000 to 1 000 000 intervals. Together, these features facilitate reproducible research and streamline integrating/querying large-scale genomic data within analyses/workflows. FILER can be deployed on cloud or local servers (https://bitbucket.org/wanglab-upenn/FILER) for integration with custom pipelines and is freely available (https://lisanwanglab.org/FILER).

原文English
文章編號lqab123
期刊NAR Genomics and Bioinformatics
4
發行號1
DOIs
出版狀態Published - 1 3月 2022

文獻附註

Publisher Copyright:
© 2022 The Author(s). Published by Oxford University Press on behalf of NAR Genomics and Bioinformatics.

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