PubMed · 15691166
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Heather Elliott-Famularo, Paul Dietz. Emerging Technologies 2004.. https://doi.org/10.1109/mcg.2005.9
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Recent technological advances and experimental techniques have contributed to an increasing number and size of NMR datasets. In order to scale up productivity, laboratory information management systems for handling these extensive data need to be designed and implemented. The SPINS (Standardized ProteIn Nmr Storage) Laboratory Information Management System (LIMS) addresses these needs by providing an interface for archival of complete protein NMR structure determinations, together with functionality for depositing these data to the public BioMagResBank (BMRB). The software tracks intermediate files during each step of an NMR structure-determination process, including: data collection, data processing, resonance assignments, resonance assignment validation, structure calculation, and structure validation. The underlying SPINS data dictionary allows for the integration of various third party NMR data processing and analysis software, enabling users to launch programs they are accustomed to using for each step of the structure determination process directly out of the SPINS user interface.
UNLABELLED: Paloverde is a new program designed to help visualize the phylogenetic structure of moderately large trees--trees on the scale of 100-2500 leaf nodes. The program embeds the user in an interactive virtual 3D world in which a large tree presented in various layouts can be manipulated through a mouse interface. The program implements radial 2D layouts, and true 3D spiral, conical and hemispherical (i.e. truly 'tree'-like) layouts. Subclades can be defined in the input file (using standard node-based definitions) and displayed collapsed as new leaf nodes, or left intact but annotated with names around the periphery of the tree. A search tool lets the user zoom to any selected leaf node. Paloverde is an open source project written in ANSI C using the OpenGL library for 3D visualization. AVAILABILITY: Source code, makefiles for Mac OS X and Linux and a compiled binary for Mac OS X are available at http://ginger.ucdavis.edu/paloverde/paloverde.html, along with a sample dataset.
UNLABELLED: Mayday is a workbench for visualization, analysis and storage of microarray data. It features a graphical user interface and supports the development and integration of existing and new analysis methods. Besides the infrastructural core functionality, Mayday offers a variety of plug-ins, such as various interactive viewers, a connection to the R statistical environment, a connection to SQL-based databases and different data mining methods, including WEKA-library based methods for classification and various clustering methods. In addition, so-called meta information objects are provided for annotation of the microarray data allowing integration of data from different sources, which is a feature that, for instance, is employed in the enhanced heatmap visualization. SUPPLEMENTARY INFORMATION: The software and more detailed information including screenshots and a user guide as well as test data can be found on the Mayday home page http://www.zbit.uni-tuebingen.de/pas/mayday. The core is published under the GPL (GNU Public License) and the associated plug-ins under the LGPL (Lesser GNU Public License).