Preparing for leadership in General Practice: a qualitative exploration of how GP trainees learn about leadership.

The recent rise to prominence of healthcare leadership worldwide has prompted those involved in medical education to consider how to facilitate learning to lead effectively. Research has focused on formal curriculum activities. Curricular theory suggests that trainee doctors may also learn through the informal curriculum but there is a lack of medical education literature on this. We aimed to explore how GP trainees learn about leadership in their GP training practices. Epistemologically grounded in social constructionism, this research involved 15 semi-structured interviews with GP trainees about to complete their training. Interviews were conducted using an online video conferencing method, audio-taped, transcribed and analysed using thematic framework analysis. We identified three learning processes contributing to leadership development; evaluating leadership, formulating views on leadership and constructing a personal leadership identity. Other factors operating within the informal curriculum included leadership terminology, and the quality of relationships and networks. Paradoxically, a role model's fallibility could positively influence leadership learning. Based on our findings, we present a model for the informal leadership learning process. This may enhance the facilitation of leadership learning by trainers and the wider clinical team, and positively influence the delivery and content of formal leadership courses.

Genoviz Software Development Kit: Java tool kit for building genomics visualization applications.

BACKGROUND: Visualization software can expose previously undiscovered patterns in genomic data and advance biological science. RESULTS: The Genoviz Software Development Kit (SDK) is an open source, Java-based framework designed for rapid assembly of visualization software applications for genomics. The Genoviz SDK framework provides a mechanism for incorporating adaptive, dynamic zooming into applications, a desirable feature of genome viewers. Visualization capabilities of the Genoviz SDK include automated layout of features along genetic or genomic axes; support for user interactions with graphical elements (Glyphs) in a map; a variety of Glyph sub-classes that promote experimentation with new ways of representing data in graphical formats; and support for adaptive, semantic zooming, whereby objects change their appearance depending on zoom level and zooming rate adapts to the current scale. Freely available demonstration and production quality applications, including the Integrated Genome Browser, illustrate Genoviz SDK capabilities. CONCLUSION: Separation between graphics components and genomic data models makes it easy for developers to add visualization capability to pre-existing applications or build new applications using third-party data models. Source code, documentation, sample applications, and tutorials are available at http://genoviz.sourceforge.net/.

The Integrated Genome Browser: free software for distribution and exploration of genome-scale datasets.

UNLABELLED: Experimental techniques that survey an entire genome demand flexible, highly interactive visualization tools that can display new data alongside foundation datasets, such as reference gene annotations. The Integrated Genome Browser (IGB) aims to meet this need. IGB is an open source, desktop graphical display tool implemented in Java that supports real-time zooming and panning through a genome; layout of genomic features and datasets in moveable, adjustable tiers; incremental or genome-scale data loading from remote web servers or local files; and dynamic manipulation of quantitative data via genome graphs. AVAILABILITY: The application and source code are available from http://igb.bioviz.org and http://genoviz.sourceforge.net.