1. Data analysis is an iterative process and, as such, it requires tools that facilitate quick, iterative
    analysis. This video is a screen recording from Clustrophile, a tool that supports interactive
    clustering analysis through multiple visualizations coupled with interaction and intermediate
    visual encoding. Clustrophile enables users to quickly compute clusterings and projections, test "what-if"
    scenarios and run dynamic queries. Clustrophile also introduces new interaction techniques
    for reasoning about two-dimensional projections. Not to mention that it contributes a new
    word to the English vocabulary;-).
    Clustrophile
    noun | /kləstrə-`fil/
    :a person or entity who is friendly to or has a strong admiration of clustering or clusters.

    # vimeo.com/152936887 Uploaded 137 Plays 0 Comments
  2. This video is a screen recording from the VERP Explorer, an interactive visual analysis
    tool that integrates conventional visualizations (left) of eye tracking data with recurrence
    plots (right). The video demonstrates the tool using a two-dimensional projection of the Lorenz
    attractor, a chaotic time-varying function (solution to the Lorenz system).

    Why is the VERP Explorer useful?

    By tracking the sequential attention of the user, eye movements afford a unique
    window into visual-cognitive interactions. Advances in eye tracking technology have
    made eye movement data collection more practical than ever, offering new
    opportunities for automated visual design evaluation. The VERP Explorer
    essentially enables users to perform recurrence based visual analysis
    of eye tracking datasets, coupled with several standard and new
    spatial visualizations of eye movements.

    How can recurrence plots help in eye movement analysis?

    Originated from the study of dynamical systems in the physics literature,
    recurrence plots are simple but powerful, revealing
    patterns of revisitation (cycles) over time. A recurrence plot of a time varying
    function can be viewed as a signature or barcode of the function. More
    importantly, recurrence plots lend themselves to quantified analysis.
    For example, the VERP Explorer enables users to compute several
    metrics from recurrence plots that characterize different aspects of
    visual-cognitive interactions manifested by eye movements.

    # vimeo.com/150611894 Uploaded 93 Plays 0 Comments
  3. In vitro selection and evolution is a powerful method for discovering RNA molecules based on their binding and catalysis properties. However, the resulting RNA sequences form a large, high-dimensional space and biologists lack adequate tools to explore and interpret these sequences. We present invis, the first visual analysis tool to facilitate exploration of in vitro selection sequence spaces. invis introduces a novel configuration of coordinated views that enables simultaneous inspection of global projections of sequence data alongside local regions of selected dimensions and sequence clusters.

    # vimeo.com/77718464 Uploaded 2,261 Plays 0 Comments
  4. This is a screen capture from the web interface of the neural map tool (brainmap) that we introduced in our TVCG'12 paper:

    Title: Exploring Brain Connectivity with Two-Dimensional Neural Maps

    Abstract—We introduce two-dimensional neural maps for exploring connectivity in the brain. For this, we create standard streamtube models from diffusion-weighted brain imaging data sets along with neural paths hierarchically
    projected into the plane. These planar neural maps combine desirable properties of low-dimensional
    representations, such as visual clarity and ease of tract-of-interest selection, with the anatomical familiarity of 3D brain models and planar sectional views. We distribute this type of visualization both in a traditional stand-alone interactive application and as a novel, lightweight web-accessible system. The web interface integrates precomputed neural-path representations into a geographical digital-maps framework with associated labels, metrics, statistics, and linkouts. Anecdotal and quantitative comparisons of the present method with a recently
    proposed 2D point representation suggest that our representation is more intuitive and easier to use and learn.
    Similarly, users are faster and more accurate in selecting bundles using the 2D path representation than the 2D
    point representation. Finally, expert feedback on the web interface suggests that it can be useful for collaboration
    as well as quick exploration of data.

    # vimeo.com/150617358 Uploaded 17 Plays 0 Comments
  5. This is a screen capture from the neural map tool (brainmap) that we introduced in our TVCG'12 paper:

    Title: Exploring Brain Connectivity with Two-Dimensional Neural Maps

    Abstract—We introduce two-dimensional neural maps for exploring connectivity in the brain. For this, we create standard streamtube models from diffusion-weighted brain imaging data sets along with neural paths hierarchically
    projected into the plane. These planar neural maps combine desirable properties of low-dimensional
    representations, such as visual clarity and ease of tract-of-interest selection, with the anatomical familiarity of 3D brain models and planar sectional views. We distribute this type of visualization both in a traditional stand-alone interactive application and as a novel, lightweight web-accessible system. The web interface integrates precomputed neural-path representations into a geographical digital-maps framework with associated labels, metrics, statistics, and linkouts. Anecdotal and quantitative comparisons of the present method with a recently
    proposed 2D point representation suggest that our representation is more intuitive and easier to use and learn.
    Similarly, users are faster and more accurate in selecting bundles using the 2D path representation than the 2D
    point representation. Finally, expert feedback on the web interface suggests that it can be useful for collaboration
    as well as quick exploration of data.

    # vimeo.com/150619066 Uploaded 18 Plays 0 Comments

Visualize first. Ask questions later.

Cagatay Demiralp

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