DAS Writeback: A Collaborative Annotation System for Proteins

We designed and developed a Collaborative Annotation System for Proteins called DAS Writeback, which extends the Distributed Annotation System (DAS) to provide the functionalities of adding, editing and deleting annotations. A great deal of effort has gone into gathering information about proteins over the last few years. By June 2009, UniProtKB/Swiss-Prot, a curated database, contained over four hundred thousand sequence entries and UniProtKB/TrEMBL, a database with automated annotation, contained over eight million sequence entries. Every protein is annotated with relevant information, which needs to be eciently captured and made available to other research groups. These include annotations about the structure, the function or the biochemical residues. Several research groups have taken on the task of making this information accessible to the community, however, information flow in the opposite direction has not been extensively explored. Users are currently passive actors that behave as consumers of one or several sources of protein annotations and they have no immediate way to provide feedback to the source if, for example, a mistake is detected or they want to add information. Any change has to be done by the owner of the database. The current lack of being able to feed information back to a database is tackled in this project. The solution consists of an extension of the DAS protocol that defines the communication rules between the client and the writeback server following the Uniform Interface of the RESTful architecture. A protocol extension was proposed to the DAS community and implementations of both server and client were created in order to have a fully functional system. For the development of the server, writing functionalities were added to MyDAS, which is a widely used DAS server. The writeback client is an extended version of the web-based protein client Dasty2. The involvement of the DAS community and other potential users was a fundamental component of this project. The architecture was designed with the insight of the DAS specialized forum, a prototype was then created and subsequently presented in the DAS workshop 2009. The feedback from the forum and workshop was used to redefine the architecture and implement the system. A usability experiment was performed using potential users of the system emulating a real annotation task. It demonstrated that DAS writeback is effective, usable and will provide the appropriate environment for the creation and evolution of a protein annotation community. Although the scope of this research is limited to protein annotations, the specification was defined in a general way. It can, therefore, be used for other types of information supported by DAS, implying that the server is versatile enough to be used in other scenarios without major modifications

Aerospace medicine and biology: A continuing bibliography with indexes (supplement 360)

This bibliography lists 217 reports, articles and other documents introduced into the NASA Scientific and Technical Information System during February 1992. Subject coverage includes: aerospace medicine and physiology, life support systems and man/system technology, protective clothing, exobiology and extraterrestrial life, planetary biology, and flight crew behavior and performance

An algorithmic framework for visualising and exploring multidimensional data

To help understand multidimensional data, information visualisation techniques are often applied to take advantage of human visual perception in exposing latent structure. A popular means of presenting such data is via two-dimensional scatterplots where the inter-point proximities reflect some notion of similarity between the entities represented. This can result in potentially interesting structure becoming almost immediately apparent. Traditional algorithms for carrying out this dimension reduction tend to have different strengths and weaknesses in terms of run times and layout quality. However, it has been found that the combination of algorithms can produce hybrid variants that exhibit significantly lower run times while maintaining accurate depictions of high-dimensional structure. The author's initial contribution in the creation of such algorithms led to the design and implementation of a software system (HIVE) for the development and investigation of new hybrid variants and the subsequent analysis of the data they transform. This development was motivated by the fact that there are potentially many hybrid algorithmic combinations to explore and therefore an environment that is conductive to their development, analysis and use is beneficial not only in exploring the data they transform but also in exploring the growing number of visualisation tools that these algorithms beget. This thesis descries three areas of the author's contribution to the field of information visualisation. Firstly, work on hybrid algorithms for dimension reduction is presented and their analysis shows their effectiveness. Secondly, the development of a framework for the creation of tailored hybrid algorithms is illustrated. Thirdly, a system embodying the framework, providing an environment conductive to the development, evaluation and use of the algorithms is described. Case studies are provided to demonstrate how the author and others have used and found value in the system across areas as diverse as environmental science, social science and investigative psychology, where multidimensional data are in abundance

Growing Brains in Silico: Integrating Biochemistry, Genetics and Neural Activity in Neurodevelopmental Simulations

Biologists\u27 understanding of the roles of genetics, biochemistry and activity in neural function is rapidly improving. All three interact in complex ways during development, recovery from injury and in learning and memory. The software system NeuroGene was written to simulate neurodevelopmental processes. Simulated neurons develop within a 3D environment. Protein diffusion, decay and receptor-ligand binding are simulated. Simulations are controlled by genetic information encoded using a novel programming language mimicking the control mechanisms of biological genes. Simulated genes may be regulated by protein concentrations, neural activity and cellular morphology. Genes control protein production, changes in cell morphology and neural properties, including learning. We successfully simulate the formation of topographic projection from the retina to the tectum. We propose a novel model of topography based on simulated growth cones. We also simulate activitydependent refinement, through which diffuse connections are modified until each retinal cell connects to only a few target cells

The Second Conference on Lunar Bases and Space Activities of the 21st Century, volume 1

These papers comprise a peer-review selection of presentations by authors from NASA, LPI industry, and academia at the Second Conference (April 1988) on Lunar Bases and Space Activities of the 21st Century, sponsored by the NASA Office of Exploration and the Lunar Planetary Institute. These papers go into more technical depth than did those published from the first NASA-sponsored symposium on the topic, held in 1984. Session topics covered by this volume include (1) design and operation of transportation systems to, in orbit around, and on the Moon, (2) lunar base site selection, (3) design, architecture, construction, and operation of lunar bases and human habitats, and (4) lunar-based scientific research and experimentation in astronomy, exobiology, and lunar geology