blast_best_score

blast_best_score extracts the highest-scoring hits from BLAST outputs to identify top sequence alignments for genomic and biomedical analyses of next-generation DNA sequencing data.


Key Features:

  • Best-hit selection: Identifies and returns the highest-scoring BLAST hits from comprehensive BLAST output sets.
  • High-throughput data handling: Processes BLAST results generated from next-generation DNA sequencing workflows to address large-scale datasets.
  • Threshold-based filtering: Applies predefined criteria such as score thresholds to determine the most relevant alignments.
  • Scalability: Supports large-scale biomedical and genomic analyses by efficiently processing extensive BLAST datasets.
  • Reproducibility tracking: Integrates with the Galaxy platform to enable automatic tracking of computational steps for reproducibility.

Scientific Applications:

  • Genomic research: Pinpoints significant genetic similarities and differences by extracting top BLAST hits to support studies of gene function, evolutionary relationships, and disease mechanisms.
  • Biomedical data analysis: Facilitates large-scale sequence comparison and interpretation in biomedical investigations using BLAST-derived best hits from NGS data.

Methodology:

Parses BLAST results and leverages computational algorithms to identify the most relevant alignments based on predefined criteria such as score thresholds, with operations performed within the Galaxy environment.

Topics

Collections

Details

Maturity:
Mature
Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Added:
12/19/2016
Last Updated:
11/25/2024

Operations

Data Inputs & Outputs

Publications

Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ. Basic local alignment search tool. Journal of Molecular Biology. 1990;215(3):403-410. doi:10.1016/s0022-2836(05)80360-2.

Afgan E, Baker D, van den Beek M, Blankenberg D, Bouvier D, Čech M, Chilton J, Clements D, Coraor N, Eberhard C, Grüning B, Guerler A, Hillman-Jackson J, Von Kuster G, Rasche E, Soranzo N, Turaga N, Taylor J, Nekrutenko A, Goecks J. The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update. Nucleic Acids Research. 2016;44(W1):W3-W10. doi:10.1093/nar/gkw343. PMID:27137889. PMCID:PMC4987906.

Mareuil F, Doppelt-Azeroual O, Ménager H. A public Galaxy platform at Pasteur used as an execution engine for web services. Unknown Journal. 2017. doi:10.7490/f1000research.1114334.1.

Documentation

Links