New Results
DisGeNET-RDF: harnessing the innovative power of the Semantic Web to explore the genetic basis of diseases
View ORCID ProfileNúria Queralt Rosinach, View ORCID ProfileJanet Piñero, View ORCID ProfileÀlex Bravo Serrano, View ORCID ProfileFerran Sanz, View ORCID ProfileLaura I. Furlong
doi: https://doi.org/10.1101/032961
Núria Queralt Rosinach
Janet Piñero
Àlex Bravo Serrano
Ferran Sanz
Article usage
Posted November 26, 2015.
DisGeNET-RDF: harnessing the innovative power of the Semantic Web to explore the genetic basis of diseases
Núria Queralt Rosinach, Janet Piñero, Àlex Bravo Serrano, Ferran Sanz, Laura I. Furlong
bioRxiv 032961; doi: https://doi.org/10.1101/032961
Subject Area
Subject Areas
- Biochemistry (11718)
- Bioengineering (8724)
- Bioinformatics (29132)
- Biophysics (14936)
- Cancer Biology (12051)
- Cell Biology (17360)
- Clinical Trials (138)
- Developmental Biology (9406)
- Ecology (14146)
- Epidemiology (2067)
- Evolutionary Biology (18269)
- Genetics (12223)
- Genomics (16768)
- Immunology (11844)
- Microbiology (28016)
- Molecular Biology (11560)
- Neuroscience (60822)
- Paleontology (450)
- Pathology (1864)
- Pharmacology and Toxicology (3231)
- Physiology (4940)
- Plant Biology (10401)
- Synthetic Biology (2878)
- Systems Biology (7333)
- Zoology (1642)