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To further elucidate the power of these computational approaches, through a case study of fat malabsorption, we demonstrate that heterogeneous but related data from diverse resources can be integrated and presented in an intuitive manner that in turn aids in further the understanding of the molecular basis of disease further.
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This complex process has been integrated and presented as online web servers for non-expert utilization.
Here the diverse experimental data are integrated and presented in a protein-centric manner where information is queried and presented via common proteins and connected to experimental data and the network of protein attributes, including information on the encoding genes, protein families, pathways, functions and more.
All the data were integrated and presented through a web interface powered by MySQL+PHP+JavaScript.
Soybean EST sequences, microarray and pathway data as well as searchable and browsable gene ontology are integrated and presented.
All terms (descriptions, etc) belonging to the same gene have been integrated and are presented as single entry.
Communication can be more effective when several media (such as text, speech, or graphics) are integrated and coordinated to present information.
As such, a Savitzky-Golay smoothing filter (see Section 3.3) was integrated and used in the evaluation experiment presented in the following section.
This is in contrast to data at the DNA level, where the output of various gene prediction programs is integrated and only one gene model is presented.
The three interface components are fully integrated and presented on one page, permitting the user to move easily between representations at different levels of resolution, ranging from kilobases to individual nucleotides.
Not only the Schrödinger equation can be integrated using the presented solver.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com