M
Mangalathu S. Rajeevan
Researcher at Centers for Disease Control and Prevention
Publications - 51
Citations - 2648
Mangalathu S. Rajeevan is an academic researcher from Centers for Disease Control and Prevention. The author has contributed to research in topics: Gene expression profiling & Gene expression. The author has an hindex of 26, co-authored 49 publications receiving 2519 citations. Previous affiliations of Mangalathu S. Rajeevan include University of New South Wales & United States Department of Health and Human Services.
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Journal ArticleDOI
Assuring the quality of next-generation sequencing in clinical laboratory practice
Amy S. Gargis,Lisa V. Kalman,Meredith W Berry,David P. Bick,David Dimmock,Tina Hambuch,Fei Lu,Elaine Lyon,Karl V. Voelkerding,Barbara A. Zehnbauer,Richa Agarwala,Sarah F. Bennett,Bin Chen,Ephrem L H Chin,John G. Compton,Soma Das,Daniel H. Farkas,Matthew J. Ferber,Birgit Funke,Manohar R. Furtado,Lilia Ganova-Raeva,Ute Geigenmüller,Sandra J Gunselman,Madhuri Hegde,Philip L. F. Johnson,Andrew Kasarskis,Shashikant Kulkarni,Thomas Lenk,CS Jonathan Liu,Megan Manion,Teri A. Manolio,Elaine R. Mardis,Jason D. Merker,Mangalathu S. Rajeevan,Martin G. Reese,Heidi L. Rehm,Birgitte B. Simen,Joanne M. Yeakley,Justin M. Zook,Ira M. Lubin +39 more
TL;DR: This research highlights the need to understand more fully the role of Epstein-Barr virus in infectious disease and its role in Hunter-LaSalle syndrome.
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Validation of array-based gene expression profiles by real-time (kinetic) RT-PCR.
TL;DR: Genes with strong hybridization signals and at least twofold difference were likely to be validated by real-time RT-PCR, and both hybridization intensity and the level of differential expression determine the likelihood of validating high-density filter array results.
Journal ArticleDOI
Use of real-time quantitative PCR to validate the results of cDNA array and differential display PCR technologies.
TL;DR: Results suggest that genes identified by DNA arrays with a two to fourfold difference in expression cannot be accepted as true or false without validation, and the real-time RT-PCR approach is well suited for validation of differential expression since it is quantitative and rapid and requires 1000-fold less RNA than conventional assays.
Journal ArticleDOI
Integrated Weighted Gene Co-expression Network Analysis with an Application to Chronic Fatigue Syndrome
Angela P. Presson,Eric M. Sobel,Jeanette C. Papp,Charlyn J Suarez,Toni Whistler,Mangalathu S. Rajeevan,Suzanne D. Vernon,Steve Horvath +7 more
TL;DR: It is shown how WGCNA can be combined with genetic marker data to identify disease-related pathways and the causal drivers within them and can easily be used to generate testable genetic hypotheses in other complex disease studies.
Journal ArticleDOI
Utility of the blood for gene expression profiling and biomarker discovery in chronic fatigue syndrome
Suzanne D. Vernon,Elizabeth R. Unger,Irina Dimulescu,Mangalathu S. Rajeevan,William C. Reeves +4 more
TL;DR: The results successfully demonstrate the utility of the blood for gene expression profiling to distinguish subjects with CFS from healthy controls and for identifying genes that could serve as CFS biomarkers.