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

Bruna PiereckMarx Oliveira-LimaAna Maria Benko-IsepponSarah DiehlReinhard SchneiderAna Christina Brasileiro-VidalAdriano Barbosa-Silva
Published in: BMC bioinformatics (2020)
LAITOR4HPC can be used for an efficient text mining based construction of biological networks derived from big data sources, such as MEDLINE abstracts. Time consumption and data input limitations will depend on the available resources at the HPC facility. LAITOR4HPC enables enough flexibility for different approaches and data amounts targeted to an organism, a subject, or a specific pathway. Additionally, it can deliver comprehensive results where interactions are classified into four types, according to their reliability.
Keyphrases
  • big data
  • artificial intelligence
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  • electronic health record
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  • data analysis