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SK did microarray, proteomics, and systems biology data analysis and wrote the manuscript.
Being a versatile and easily extendable platform, Chipster can be used for microarray, proteomics and sequencing data.
The data points in an integrated toxicogenomics experiment with microarray, proteomics, and metabolomics data are virtually innumerable.
Efforts to identify markers of exposure are concerned primarily with discerning patterns in output from microarray, proteomics, and metabolomics technology.
Due to technological advances in sequencing, microarray, proteomics and related fields, biological and clinical data are being produced at an ever increasing rate.
Here, using microarray, proteomics and Systems Biology modeling; we compare the global gene expression of CD30lo and CD30hi cells to identify key pathways of neoplastic transformation.
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The increasing use of molecular genetic techniques, microarrays, proteomics, and the development of human biomonitoring methods yield the promise of gaining accurate perspectives on the relative roles of different dietary factors and genetic factors in human cancers.
In recent years, the advent of technologies such as microarrays, proteomics, and next-generation sequencing has transformed life science.
Being a versatile and easily extendable platform, Chipster can be used for different types of high-throughput data such as microarrays, proteomics and NGS.
In addition, flax specific microarrays, proteomics and metabolomics [ 6, 7, 12, 50, 51] have also been used to increase our knowledge of flax biology.
This unified approach relies on data from expression microarrays, proteomics, and siRNA studies to identify genes that may not be part of recognized pathways.
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