1 - 17 of 17 results


Allows users to explore PubMed search results with the Gene Ontology (GO), a hierarchically structured vocabulary for molecular biology. GoPubMed provides the following benefits: first, it gives an overview of the literature abstracts by categorizing abstracts according to the GO and thus allowing users to quickly navigate through the abstracts by category. Second, GoPubMed automatically shows general ontology terms related to the original query, which often do not even appear directly in the abstract. Third, it enables users to verify its classification because GO terms are highlighted in the abstracts and as each term is labelled with an accuracy percentage. Fourth, exploring PubMed abstracts with GoPubMed is useful as it shows definitions of GO terms without the need for further look up.


Searches for articles only on traditional medicine in Northeast Asia, including traditional Chinese medicine. DisArticle is a web server in which users can search for the articles and obtain statistical data. It was made to discriminate between articles on traditional medicine and those of other disciplines for all articles that have both titles and abstracts in MEDLINE. The tool enables users to identify other articles besides those in MEDLINE and to obtain statistical data such as the top ten researched herbs and the top ten journals publishing the most articles on traditional medicine.


Provides free access to the full text of books and documents in life sciences and health care. Bookshelf is a full-text resource built and maintained by the National Center for Biotechnology Information (NCBI) within the National Library of Medicine (NLM). It includes textbooks, monographs, health reports, documentation, website content and databases. The database aims to (i) advance science and improve health care through the collection, exchange and dissemination of books and related documents and (ii)provide a permanent stable archive for the collection.

CHAT / Cancer Hallmarks Analytics Tool

Analyses and classifies cancer-related literature based on Hallmarks of Cancer (HoC). CHAT enables users to immediately analyse the correlation between any query term and the hallmarks and the associated process according to the detailed HoC taxonomy. This resource could be useful for classifying cancer related text and text mining associated biological processes, with a simple search query on cancer types, intrinsic or extrinsic factors, and therapeutics.


Provides users a synopsis regarding the information of human genes from various points of view. GeneStoryTeller is a mobile app which provides general, functional, clinical and network information for known and predicted human genes. Users are able to instantly retrieve information regarding any recorded human gene, derived from eight publicly available databases, as a summary story. Complementary information regarding gene–drugs interactions, functional annotation and disease associations for each selected gene is also provided in the gene story.

BIOCEMID / BioC Experimental Molecular Interaction Detection

Identifies passages with experimental methods for physical interactions between proteins as an information retrieval search task. BIOCEMID takes a BioC article as input, processes it, and returns the article with the annotated passages for experimental methods in BioC format as output. It can help to reduce the time consumed on curation for biocurators. The tool can help scientists reach relevant information in a structured format by facilitating the expansion of existing databases.

Simple Classifier

Trains a text document classifier and classify text documents. This machine learning method allow users to identify articles that contain protein-protein interaction (PPI) data. Simple Classifier performs binary classification to determine whether the given article is PPI relevant or not. On analyzing incorrectly classified article classification task cases, results show that false positives were seen when an article contained terms that usually indicate PPI, but were not used in that context. Simple Classifier can apply the feature selection method with different classifier algorithms.