blast_rbh

blast_rbh performs reciprocal BLAST searches between pairs of sequence files to identify reciprocal best hits for comparative sequence and orthology analyses.


Key Features:

  • Reciprocal Best Hits Extraction: Performs two-way BLAST comparisons to identify sequences that are best hits in both directions between two datasets.
  • NCBI BLAST+ Integration: Leverages enhancements from the NCBI BLAST+ suite, including rewritten BLAST components, to support improved search behavior.
  • Optimized Performance: Segments long query sequences into chunks and retrieves only relevant portions of lengthy database sequences to reduce CPU time and memory usage.
  • Galaxy Integration: Can be wrapped within the Galaxy platform to execute BLAST tasks as part of Galaxy workflows.
  • Modular Software Library: Uses a modular library to enable access to subject sequence data from various sources.

Scientific Applications:

  • Genome Annotation: Identifies reciprocal best hits to support annotation of homologous sequences across species or strains.
  • Pan-genome Analyses: Handles extensive sequence datasets to support comparative genomics and pan-genome studies.
  • Sequence Verification: Confirms sequence identity in contexts such as verification of capillary sequencing results from single PCR products.

Methodology:

Conducts reciprocal two-way BLAST searches between sequence datasets using NCBI BLAST+, segments long queries into chunks, retrieves relevant portions of lengthy database sequences, and identifies reciprocal best hits.

Topics

Collections

Details

License:
MIT
Maturity:
Mature
Cost:
Free of charge
Tool Type:
web application
Added:
11/4/2024
Last Updated:
11/7/2024

Operations

Data Inputs & Outputs

Gene functional annotation

Publications

Cock PJA, Chilton JM, Grüning B, Johnson JE, Soranzo N. NCBI BLAST+ integrated into Galaxy. Gigascience. 2015;4(1). doi:10.1186/s13742-015-0080-7. PMID:26336600. PMCID:PMC4557756.

Camacho C, Coulouris G, Avagyan V, Ma N, Papadopoulos J, Bealer K, Madden TL. BLAST+: architecture and applications. BMC Bioinformatics. 2009;10(1). doi:10.1186/1471-2105-10-421. PMID:20003500. PMCID:PMC2803857.