Published November 29, 2018 | Version 1.1
Journal article Open

LAITOR4HPC: A text mining pipeline based on HPC for building interaction networks

  • 1. 1- Universidade Federal de Pernambuco, Genetics Department, Recife, Pernambuco, Brazil.
  • 2. 2- University of Luxembourg, Luxembourg Centre for System Biology, Luxembourg.
  • 3. 3- Centre for Translational Bioinformatics, William Harvey Research, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London EC1M6BQ.

Description

LAITOR4HPC

Makes possible to tack advantage of parallelization resource available on HPC facility to identify and retrieve co-ocurrences and bioentites interactions, therefor can be efficiently used for  text-mining based construction of biological networks.

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Additional details

References

  • Barbosa-Silva A, Soldatos TG et al. (2010). LAITOR – Literature Assistant for Identification of Terms co-Occurrences and Relationships. BMC Bioinformatics.
  • Barbosa-Silva A, Fontaine J-F et al. (2011). PESCADOR, a web-based tool to assist text-mining of biointeractions extracted from PubMed queries. BMC Bioinformatics
  • Mika S, Rost B. (2004) NLProt: extracting protein names and sequences from papers. Nucleic Acids Res
  • Tange O. (2011) GNU Parallel - The Command-Line Power Tool. USENIX