With large volumes of literature knowledge available on PubMed. It’s highly time consuming to keep track of the literature updates and integrate the literature findings with one’s own experimental data.
If you are looking at semantically enriched PubMed content from 1927 onwards with appropriate content classification then, Molecular Connections brings you the opportunity to own a fully annotated and classified XTractor Knowledgebase.
Unlike most of the knowledgebase providers, where the content is tied with their own user interfaces, thus limit the ability to perform the most intricate queries or prevent inhouse integrations of content. This model enables storage of the annotated content at the user’s end and also integrate with one’s proprietary/public knowledge and content in-house.
24 Rule Based Categories to classify the Information:
24 Rule Based Categories
