Life sciences software provider NextBio, US, has announced the launch of two new applications on the Elsevier SciVerse platform. The new applications are projected to demonstrate NextBio's capabilities for searching for relevant text in all types of content at the document, section, paragraph and sentence level. SciVerse is a platform that seeks to integrate Elsevier's key products and encourage the scientific community to collaborate on the development of customised search and discovery applications. The latest tie-up is seen to reflect the successful ongoing collaboration between NextBio and Elsevier.
The two new applications are SearchAssist and Section Search application. The SearchAssist application leverages NextBio's auto-complete API and provides auto-complete suggestions composed of terms gathered from diseases, compounds, drugs, anatomy, organisms, genes, biogroups, SNPs (over 18 million), author names (over 6 million) and other biological concepts. It leverages a number of open ontologies including MeSH, Snomed CT, PubChem, DrugBank and Gene Ontology.
The Section Search application decomposes an article into eight sections: Title, Abstract, Introduction, Methods, Results, Discussion, Summary and Captions. A user can search through one or more of these sections to retrieve articles of interest and further filter their results using faceted (Year, Journals, Authors and Affiliations) navigation.
These new applications add to the three previous applications - Matching Sentences, Methods Search, and Prolific Authors - that NextBio launched on the Elsevier SciVerse platform in September 2010.
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