Search results for "Tool Article"
showing 3 items of 3 documents
iSEE: Interactive SummarizedExperiment Explorer
2018
Data exploration is critical to the comprehension of large biological data sets generated by high-throughput assays such as sequencing. However, most existing tools for interactive visualisation are limited to specific assays or analyses. Here, we present the iSEE (Interactive SummarizedExperiment Explorer) software package, which provides a general visual interface for exploring data in a SummarizedExperiment object. iSEE is directly compatible with many existing R/Bioconductor packages for analysing high-throughput biological data, and provides useful features such as simultaneous examination of (meta)data and analysis results, dynamic linking between plots and code tracking for reproduci…
Assessing mentalization in psychotherapy: first validation of the Mentalization Imbalances Scale
2018
The aim of this study was to provide data on the preliminary validation of a clinician-report multidimensional assessment measure of mentalization (Mentalization Imbalances Scale, MIS). A random national sample of psychotherapists (N=190) completed the MIS to identify mentalization imbalances, and the Personality Disorder Checklist to assess the personality disorders (PDs) of randomly selected patients currently in their care. Factor analysis confirmed the presence of six factors that represented different imbalances of mentalization: cognitive, affective, automatic, external, imbalance toward others, and imbalance toward self. We found several significant relationships between patients’ me…
CellMap visualizes protein-protein interactions and subcellular localization
2018
Many tools visualize protein-protein interaction (PPI) networks. The tool introduced here, CellMap, adds one crucial novelty by visualizing PPI networks in the context of subcellular localization, i.e. the location in the cell or cellular component in which a PPI happens. Users can upload images of cells and define areas of interest against which PPIs for selected proteins are displayed (by default on a cartoon of a cell). Annotations of localization are provided by the user or through our in-house database. The visualizer and server are written in JavaScript, making CellMap easy to customize and to extend by researchers and developers.