Padhoc

Padhoc generates custom biological pathway representations from user-provided keywords to reconstruct pathways tailored to the user's research context.


Key Features:

  • Natural Language Processing (NLP): Interpret keywords for pathway generation.
  • Database Knowledge Extraction: Gather relevant biological data from databases.
  • Orthology Search Algorithms: Identify homologous genes across species.
  • Graph Algorithms: Construct coherent pathway structures.

Scientific Applications:

  • E. coli Pathways: Reconstruct well-established pathways for validation.
  • New Organisms: Create novel pathways for model organisms and non-model species.

Methodology:

Padhoc integrates natural language processing, database knowledge extraction, orthology search algorithms, and graph algorithms to generate custom biological pathway representations from user-defined keywords.

Topics

Details

Tool Type:
workflow
Programming Languages:
Python, Perl
Added:
3/19/2021
Last Updated:
3/26/2021

Operations

Publications

Casaní-Galdón S, Pereira C, Conesa A. Padhoc: a computational pipeline for pathway reconstruction on the fly. Bioinformatics. 2020;36(Supplement_2):i795-i803. doi:10.1093/bioinformatics/btaa811. PMID:33381819.

PMID: 33381819
Funding: - European Union’s Horizon 2020 Research and Innovation Programme: 675610 - U.S. Department of Agriculture: 2015-70016-23029