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