Bedops

Bedops performs high-performance set operations, conversion, lossless compression, and management of BED-formatted genome interval data to enable scalable genome-wide analyses.


Key Features:

  • Boolean set operations: Performs Boolean operations on genomic intervals to compare and combine feature sets.
  • Statistical calculations: Computes statistics on interval collections for downstream analysis.
  • Format conversion: Converts between genomic data representations to support diverse workflows.
  • Lossless compression and archiving: Compresses large interval inputs into a lossless format to reduce storage and accelerate data extraction.
  • Scalability: Handles genomic data at arbitrary scale for genome-wide datasets.
  • Chromosome-based parallelization: Splits tasks by chromosome to enable distribution of whole-genome analyses across computational clusters.
  • Data comparison, storage, and retrieval: Provides operations for efficient comparison, storage, and retrieval of genome-wide datasets.

Scientific Applications:

  • Genome-wide feature comparison: Comparing and combining genomic interval datasets across large cohorts or experiments.
  • Large-scale data management and archival: Compressing and archiving extensive interval datasets for long-term storage and rapid access.
  • Distributed whole-genome analyses: Running chromosome-split analyses across computational clusters for whole-genome workflows.
  • Interval-based statistical analyses: Computing statistics on interval collections for genome-wide studies.

Methodology:

Performs Boolean set operations and statistical calculations on BED-formatted genomic intervals, supports format conversion and lossless compression, and enables chromosome-split task distribution for cluster-based execution.

Topics

Collections

Details

License:
GPL-3.0
Tool Type:
command-line tool
Operating Systems:
Linux, Mac
Programming Languages:
C++
Added:
8/20/2017
Last Updated:
11/25/2024

Operations

Publications

Neph S, Kuehn MS, Reynolds AP, Haugen E, Thurman RE, Johnson AK, Rynes E, Maurano MT, Vierstra J, Thomas S, Sandstrom R, Humbert R, Stamatoyannopoulos JA. BEDOPS: high-performance genomic feature operations. Bioinformatics. 2012;28(14):1919-1920. doi:10.1093/bioinformatics/bts277. PMID:22576172. PMCID:PMC3389768.

Documentation