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Gitools

Gitools is a desktop application for analysis and visualization of multidimensional data using interactive heat-maps.

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Institution: University Pompeu Fabra, Barcelona

MembraneEditor

The CELLmicrocosmos 2.2 MembraneEditor can be used to model membranes based on lipid and protein files in PDB format. It is possible to interactively generate structural and compositional heterogeneous membrane patches as well as vesicles. The created structures can be used for visualization purposes, structural analysis or as a base for molecular simulations. Windows, Mac OS X as well as Linux are supported. Requirement: Java 7+ has to be installed beforehand. For semi-automatic placement of proteins, the OPM and PDB_TM database are used. A direct connection to the PDB database for downloading PDB files is also integrated. The PDB export module provides many options, enabling compatibility to all PDB viewers to the best of our knowledge.

Introduction videos you will find here: http://www.cellmicrocosmos.org/index.php/videos

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Institution: University of Konstanz

LEVER

LEVER 3-D is an application that enables the quantitative analysis of multichannel 5-D (x, y, z, t, channel) and large montage confocal fluorescence microscopy images. The image sequences show stem cells together with blood vessels, enabling quantification of the dynamic behaviors of stem cells in relation to their vascular niche, with applications in developmental and cancer biology. LEVER 3-D automatically segments, tracks, and lineages the image sequence data and then allows the user to view and edit the results of automated algorithms in a stereoscopic 3-D window while simultaneously viewing the stem cell lineage tree in a 2-D window. Using the GPU to store and render the image sequence data enables a hybrid computational approach. An inference-based approach utilizing user-provided edits to automatically correct related mistakes executes interactively on the system CPU while the GPU handles 3-D visualization tasks. Conclusions: By exploiting commodity computer gaming hardware, we have developed an application that can be run in the laboratory to facilitate rapid iteration through biological experiments. There is a pressing need for visualization and analysis tools for 5-D live cell image data. This tool is the first to combine all of these aspects, leveraging the synergies obtained by utilizing validation information from stereo visualization to improve the low level image processing tasks.

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Institution: Drexel University

MIMTool

 

Background: To understand protein function, it is important to study protein- protein interaction networks. These networks can be represented in network diagrams called protein interaction maps that can lead to better understanding by visualization. We address the problem of drawing of protein interactions in Kohn's Molecular Interaction Map (MIM) notation. Even though there are some existing tools for graphical visualization of protein interactions in general, there is no tool that can draw protein interactions with MIM notation with full support. Results: MIMTool was developed for drawing protein interaction maps in Kohn's MIM notation. MIMTool was developed using the Qt toolkit libraries and introduces several unique features such as full interactivity, object dragging, ability to export files in MIMML, SBML and line drawing with automatic bending and crossover minimization, which are not available in other diagram editors. MIMTool also has a unique orthogonal edge drawing method that is both easy and more flexible than other orthogonal drawing methods present in other interaction drawing tools. Conclusions: MIMTool facilitates faster drawing, updating and exchanging of MIMs. Among its several features, it also includes a semi-automatic drawing algorithm that makes use of shortest path algorithm for constructing lines with small number of bends and crossings. MIMTool contributes a much needed software tool that was missing and will facilitate wider adoption of Kohn's MIM notation.

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Institution: Bogazici University, Istanbul; Boston University, Boston; National Lab for Cancer Research, National Cancer Inst., NIH, Frederick

This work was supported by the Scientific and  Technological Research Council of Turkey (TUBITAK) under the grant number 107T382 and in part with Federal funds from the National Cancer Institute, National Institutes of Health, under contract number HHSN261200800001E. The content of this publication does not necessarily reflect the views or policies of the Department of Health and Human Services, nor does mention of trade names, commercial products, or organizations imply endorsement by the U.S. Government. It was also supported in part by the Intramural Research Program of the NIH, National Cancer Institute, Center for Cancer Research.

 

inPHAP

inPHAP is an interactive visualization tool for genotype and phased haplotype data. inPHAP features a variety of interaction possibilities such as zooming, sorting, filtering and aggregation of rows in order to explore patterns hidden in large genetic data sets. As a proof of concept, we apply inPHAP to the phased haplotype data set of Phase 1 of the 1000 Genomes Project. Thereby, inPHAP's ability to show genetic variations on the population as well as on the individuals level is demonstrated for several disease related loci.

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Institution: University of Tübingen

Deutsche Forschungsgemeinschaft and Open Access Publishing Fund of Tübingen University supported this project.

VIPER

VIPER (Visual Pedigree Explorer) is a tool for exploring large complex animal pedigrees and their associated genotype data. The tool combines a novel, space-efficient visualisation of the pedigree structure with an inheritance-checking algorithm. This allows users to explore the apparent errors within the genotype data in the full context of the family and pedigree structure. Ultimately, the aim is to develop an interactive software application that will allow users to identify, confirm and then remove errors from the pedigree structure and scored genotypes. 

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Institution: The Roslin Institute University of Edinburgh, School of Computing Edinburgh Napier University

LayerCake

LayerCake is a tool designed to assist in the exploration of the genetic variability of the population of viruses at multiple time points and in multiple individuals, a task that necessitates considering large amounts of sequence data and the quality issues inherent in obtaining such data in a practical manner. This design affords the examination of the amount of variability and mutation at each position in the genome for many populations of viruses. This design contains novel visualization techniques that support this specific class of analysis while addressing the issues of data aggregation, confidence visualization, and interaction support that arise when making use of large amounts of sequence data with variable uncertainty. These techniques generalize to a wide class of visualization problems where confidence is not known a priori, and aggregation in multiple directions is necessary.

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Institution: University of Wisconsin, Madison

This work was supported by NSF awards IIS-0946598 and CMMI-0941013. Related virology research was supported by NIH R01 AI084787.

TIALA

The time series alignment analysis tool Tiala allows one to align multiple time series experiments and to visually explore the aligned expression profiles. A two- and three-dimensional visualization strategy was implemented that is especially designed to enhance the display of multiple aligned time series expression profiles.

Tiala is available as a part of the microarray data analysis software Mayday. Mayday itself is open source software distributed under the terms of the GNU General Public License. It is available from http://it.inf.uni-tuebingen.de/?page_id=248.

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Institution: Center for Bioinformatics, Tubingen University of Tubingen

Part of this work has been funded by the DFG Priority Program 1335 “Scalable Visual Analytics”.

OpenWalnut

This is a novel and effective method for visualizing probabilistic tractograms within their anatomical context. This illustrative rendering technique, called fiber stippling, is inspired by visualization standards as found in anatomical textbooks. These illustrations typically show slice-based projections of fiber pathways and are typically hand-drawn. Applying the automatized technique to diffusion tractography, it is possible to demonstrate its expressiveness and intuitive usability as well as a more objective way to present white-matter structure in the human brain.

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Institution: Zuse Institute Berlin, Max Planck Institute for Neurological Research Cologne, University of Leipzig

This work was supported by the German Federal Ministry of Education and Research as part of the VisPME research collaboration (01IH08009F) as well as by the AiF (ZIM grant KF 2034701SS8).

FluoRender

FluoRender is an interactive tool for neurobiologists to visualize confocal microscopy data in their research. Multiple channels, detailed three-dimensional structures, and time-dependent sequences are the three major features of confocal microscopy data. With these features and usability in mind, we designed and engineered our system, which is now a free package for public download. We present the visualization pipeline and main features of our system for 3D/4D multi-channel confocal data visualization. Our system supports different input formats commonly seen for confocal microscopy. By minimizing pre-processing and optimizing data reading codes, it can read 3D/4D data with minimal latency. It has easy-to-use parameters for volume rendering effects, which are adjusted with real-time speed. It uses several image post-processing methods for detail enhancement, which are applied after volumetric data are rendered, and thus their adjustments are real-time even for 4D sequences. For multi-channel data, our system supports three different blending modes and channel grouping. Users can easily change all the settings and emphasize the most important features.

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Institution: SCI Institute and the School of Computing, Department of Neurobiology and Anatomy, University of Utah

This publication is based on work supported by Award No. KUS-CI-016-04, made by King Abdullah University of Science and Technology (KAUST), DOE SciDAC:VACET, NSF OCI-0906379, NIH-1R01GM098151-01.

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