Cargando…
GOAnnotator: linking protein GO annotations to evidence text
BACKGROUND: Annotation of proteins with gene ontology (GO) terms is ongoing work and a complex task. Manual GO annotation is precise and precious, but it is time-consuming. Therefore, instead of curated annotations most of the proteins come with uncurated annotations, which have been generated autom...
Autores principales: | Couto, Francisco M, Silva, Mário J, Lee, Vivian, Dimmer, Emily, Camon, Evelyn, Apweiler, Rolf, Kirsch, Harald, Rebholz-Schuhmann, Dietrich |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2006
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1769513/ https://www.ncbi.nlm.nih.gov/pubmed/17181854 http://dx.doi.org/10.1186/1747-5333-1-19 |
Ejemplares similares
-
An evaluation of GO annotation retrieval for BioCreAtIvE and GOA
por: Camon, Evelyn B, et al.
Publicado: (2005) -
Facts from Text—Is Text Mining Ready to Deliver?
por: Rebholz-Schuhmann, Dietrich, et al.
Publicado: (2005) -
The Gene Ontology Annotation (GOA) Project—Application of GO in
SWISS-PROT, TrEMBL and InterPro
por: Camon, Evelyn, et al.
Publicado: (2003) -
annot8r: GO, EC and KEGG annotation of EST datasets
por: Schmid, Ralf, et al.
Publicado: (2008) -
Monitoring named entity recognition: the League Table
por: Rebholz-Schuhmann, Dietrich, et al.
Publicado: (2013)