Using sound to understand protein sequence data: new sonification algorithms for protein sequences and multiple sequence alignments.

BACKGROUND: The use of sound to represent sequence data-sonification-has great potential as an alternative and complement to visual representation, exploiting features of human psychoacoustic intuitions to convey nuance more effectively. We have created five parameter-mapping sonification algorithms that aim to improve knowledge discovery from protein sequences and small protein multiple sequence alignments. For two of these algorithms, we investigated their effectiveness at conveying information. To do this we focussed on subjective assessments of user experience. This entailed a focus group session and survey research by questionnaire of individuals engaged in bioinformatics research. RESULTS: For single protein sequences, the success of our sonifications for conveying features was supported by both the survey and focus group findings. For protein multiple sequence alignments, there was limited evidence that the sonifications successfully conveyed information. Additional work is required to identify effective algorithms to render multiple sequence alignment sonification useful to researchers. Feedback from both our survey and focus groups suggests future directions for sonification of multiple alignments: animated visualisation indicating the column in the multiple alignment as the sonification progresses, user control of sequence navigation, and customisation of the sound parameters. CONCLUSIONS: Sonification approaches undertaken in this work have shown some success in conveying information from protein sequence data. Feedback points out future directions to build on the sonification approaches outlined in this paper. The effectiveness assessment process implemented in this work proved useful, giving detailed feedback and key approaches for improvement based on end-user input. The uptake of similar user experience focussed effectiveness assessments could also help with other areas of bioinformatics, for example in visualisation.

MEDICAL BRIGADES, GLOBAL HEALTH AND THE UNITED NATIONS: MILLENNIUM DEVELOPMENT GOALS AND DEVELOPING NATIONS.

Recently, recommendations have been made that global health initiatives change their focus from disease specific intervention to bolstering health systems and general health care. The aim of this is to ultimately increase access to primary care, clean water, education, hygiene, and prevent malnutrition, among other goals. While many major global health initiatives have followed this trend, so have many smaller scale programs including short-term medical brigades. Despite a trending increase in the number of privately run short-term medical brigades, until recently, little research has been done on the potential positive and negative effects that can arise from such programs. Now, guidelines have been initiated to create well-structured programs. When followed, these smaller scale initiatives can be successful in helping increase access to healthcare, sustainably strengthening communities in terms of general health. While recent legislation in the United States has addressed domestic policy in the Patient Protection Affordable Care Act of 2010 (ACA), the ACA should also consider some of the basic "sustainable" policies being implemented by international health care providers.