New Results
EXTRACT 2.0: text-mining-assisted interactive annotation of biomedical named entities and ontology terms
View ORCID ProfileEvangelos Pafilis, Rūdolfs Bērziņš, View ORCID ProfileLars Juhl Jensen
doi: https://doi.org/10.1101/111088
Evangelos Pafilis
1Institute of Marine Biology, Biotechnology and Aquaculture, Hellenic Centre for Marine Research, P.O. Box 2214, 71003 Heraklion, Crete, Greece
Rūdolfs Bērziņš
2Cellular Network Biology Group, Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen N, Denmark
Lars Juhl Jensen
2Cellular Network Biology Group, Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen N, Denmark

Article usage
Posted February 23, 2017.
EXTRACT 2.0: text-mining-assisted interactive annotation of biomedical named entities and ontology terms
Evangelos Pafilis, Rūdolfs Bērziņš, Lars Juhl Jensen
bioRxiv 111088; doi: https://doi.org/10.1101/111088
Subject Area
Subject Areas
- Biochemistry (9601)
- Bioengineering (7097)
- Bioinformatics (24868)
- Biophysics (12621)
- Cancer Biology (9958)
- Cell Biology (14358)
- Clinical Trials (138)
- Developmental Biology (7953)
- Ecology (12110)
- Epidemiology (2067)
- Evolutionary Biology (15989)
- Genetics (10928)
- Genomics (14745)
- Immunology (9871)
- Microbiology (23680)
- Molecular Biology (9486)
- Neuroscience (50881)
- Paleontology (369)
- Pathology (1540)
- Pharmacology and Toxicology (2683)
- Physiology (4019)
- Plant Biology (8657)
- Synthetic Biology (2397)
- Systems Biology (6439)
- Zoology (1346)