PubTerm: a web tool for organizing, annotating and curating genes, diseases, molecules and other concepts from PubMed records | Zendy

José GarciaPelaez | Zendy; David Rodríguez | Zendy; Roberto Medina-Molina | Zendy; Gerardo GarcíaRivas | Zendy; Carlos JerjesSánchez | Zendy; Víctor Treviño | Zendy

Open Access

PubTerm: a web tool for organizing, annotating and curating genes, diseases, molecules and other concepts from PubMed records

Author(s) -

José GarciaPelaez,

David Rodríguez,

Roberto Medina-Molina,

Gerardo GarcíaRivas,

Carlos JerjesSánchez,

Víctor Treviño

Publication year - 2018

Publication title -

database

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.406

H-Index - 62

ISSN - 1758-0463

DOI - 10.1093/database/bay137

Subject(s) - computer science , data curation , identifier , annotation , categorization , context (archaeology) , information retrieval , world wide web , pipeline (software) , unique identifier , biological database , task (project management) , reading (process) , bioinformatics , artificial intelligence , biology , paleontology , management , political science , law , economics , programming language

Analysis, annotation and curation of biomedical scientific literature is a recurrent task in biomedical research, database curation and clinics. Commonly, the reading is centered on concepts such as genes, diseases or molecules. Database curators may also need to annotate published abstracts related to a specific topic. However, few free and intuitive tools exist to assist users in this context. Therefore, we developed PubTerm, a web tool to organize, categorize, curate and annotate a large number of PubMed abstracts related to biological entities such as genes, diseases, chemicals, species, sequence variants and other related information.

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