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To study the genetic relationship of different var genes, we performed repertoire-wide nucleotide and amino acid sequence comparisons using a number of different approaches and visualization tools (see Materials and Methods).
Algorithms, statistical approaches, and visualization tools for analyses of data produced by these time-series studies, within and across different data types, need to be further developed, as do approaches for determining how to adequately power such studies.
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Statistical approaches and basic visualization to compare relative abundances or rank-order information between negative controls and samples may help determine if taxa are also real.
This brings new opportunities, but also new challenges, in the ways we approach analysis and visualization of spatial data.
The FLOM model has been evaluated on an image-based language learning application, which has been designed for interpretation of Japanese kanji and Mayan glyphs, using emerging data exchange technologies and some approaches for retrieval and visualization of multimedia documents in mobile environments.
This paper explores a community survey approach and a visualization technique that can be used to analyze composite fear maps generated from drawings such as those shown in the following figures.
This novel approach combines analysis and visualization with the correlation structure of the lipid profiling data.
For comparison of our 1D-SOM method with a more classical approach to clustering and visualization we performed hierarchical cluster analysis (HCA) in combination with K-means.
This paper describes a novel approach for detection and visualization of a panel of pTyr proteins in tumors using in situ proximity ligation assay.
Access to the new methods and visualization approaches will provide the research community with improved capacity to analyze and interpret TF ChIP-Seq data.
This allows the quick introduction of new modules online using the appropriate data streams and visualization approaches.
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