LitMiner: integration of library services within a bio-informatics application

BACKGROUND: This paper examines how the adoption of a subject-specific library service has changed the way in which its users interact with a digital library. The LitMiner text-analysis application was developed to enable biologists to explore gene relationships in the published literature. The application features a suite of interfaces that enable users to search PubMed as well as local databases, to view document abstracts, to filter terms, to select gene name aliases, and to visualize the co-occurrences of genes in the literature. At each of these stages, LitMiner offers the functionality of a digital library. Documents that are accessible online are identified by an icon. Users can also order documents from their institution's library collection from within the application. In so doing, LitMiner aims to integrate digital library services into the research process of its users. METHODS: Case study RESULTS: This integration of digital library services into the research process of biologists results in increased access to the published literature. CONCLUSION: In order to make better use of their collections, digital libraries should customize their services to suit the research needs of their patrons

Solar cycle–dependent helicity transport by magnetic clouds

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/94636/1/jgra17966.pd

Analysis of TaqMan Array Cards Data by an Assumption-Free Improvement of the maxRatio Algorithm Is More Accurate than the Cycle-Threshold Method

<div><p>Quantitative PCR diagnostic platforms are moving towards increased sample throughput, with instruments capable of carrying out thousands of reactions at once already in use. The need for a computational tool to reliably assist in the validation of the results is therefore compelling. In the present study, 328 residual clinical samples provided by the Public Health England at Addenbrooke's Hospital (Cambridge, UK) were processed by TaqMan Array Card assay, generating 15 744 reactions from 54 targets. The amplification data were analysed by the conventional cycle-threshold (CT) method and an improvement of the <i>maxRatio</i> (MR) algorithm developed to filter out the reactions with irregular amplification profiles. The reactions were also independently validated by three raters and a consensus was generated from their classification. The inter-rater agreement by Fleiss' kappa was 0.885; the agreement between either CT or MR with the raters gave Fleiss' kappa 0.884 and 0.902, respectively. Based on the consensus classification, the CT and MR methods achieved an assay accuracy of 0.979 and 0.987, respectively. These results suggested that the assumption-free MR algorithm was more reliable than the CT method, with clear advantages for the diagnostic settings.</p></div

Comparison of student examiner to faculty examiner scoring and feedback in an OSCE

general view, view along street elevations of city buildings, June 198

Virtual Reality, Telemedicine, Web and Data Processing Innovations in Medical and Psychiatric Education and Clinical Care

Objective This article highlights technology innovations in psychiatric and medical education, including applications from other fields. Method The authors review the literature and poll educators and informatics faculty for novel programs relevant to psychiatric education. Results The introduction of new technologies requires skill at implementation and evaluation to assess the pros and cons. There is a significant body of literature regarding virtual reality and simulation, including assessment of outcomes, but other innovations are not well studied. Conclusions Innovations, like other uses of technology, require collaboration between parties and integration within the educational framework of an institution