tmBioC specifications


Unique identifier OMICS_21383
Name tmBioC
Alternative name text-mining BioC
Restrictions to use None
Community driven No
Data access Browse
User data submission Not allowed
Version 1.0
Maintained Yes


  • person_outline Zhiyong Lu

Publication for text-mining BioC

tmBioC citations


A rule based named entity recognition method for knowledge extraction of evidence based dietary recommendations

PLoS One
PMCID: 5482438
PMID: 28644863
DOI: 10.1371/journal.pone.0179488

[…] ns such as disease, phenotype, and adverse reactions in different text sources literature, clinical records and social media; methods to achieve interoperability, generalisability, and scalability in text mining: BioC [], RDF and semantic web, among others; and the application of ontologies in text mining and text mining as an ontology builder.From an overview of the existing information extractio […]


BioC interoperability track overview

PMCID: 4074764
PMID: 24980129
DOI: 10.1093/database/bau053

[…] XML format, PubTator format, GenNorm format, CHEMDNER format) were used. To improve the interoperability of our text mining toolkit, we produced an updated version of the toolkit, which we have named tmBioC. In particular, we modified each tool by adding the BioC format as a new input/output option. Because all our tools are focused on concept recognition, we used a single key file for interpretin […]

tmBioC institution(s)
National Center for Biotechnology Information, National Institutes of Health, Bethesda, MD, USA
tmBioC funding source(s)
Supported by the Intramural Research Program of the NIH, National Library of Medicine.

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