2023 - Research.com Medicine in Belgium Leader Award
2023 - Research.com Genetics in Belgium Leader Award
Jo Vandesompele mostly deals with Genetics, Gene expression profiling, Real-time polymerase chain reaction, Bioinformatics and Gene expression. His research combines Melorheostosis and Genetics. His Gene expression profiling study improves the overall literature in Gene.
His Real-time polymerase chain reaction research is multidisciplinary, relying on both Messenger RNA, Computational biology and Primer. Jo Vandesompele has included themes like Replication, Data science and Biomarker discovery in his Bioinformatics study. Jo Vandesompele has researched Gene expression in several fields, including RNA, Reverse transcriptase and microRNA.
His primary areas of investigation include Neuroblastoma, Computational biology, Cancer research, Genetics and Gene. His Neuroblastoma research incorporates elements of Cancer, Internal medicine, DNA methylation, Bioinformatics and Molecular biology. In his research, Messenger RNA is intimately related to RNA, which falls under the overarching field of Computational biology.
His Cancer research research incorporates themes from Phenotype, microRNA, N-Myc Proto-Oncogene Protein and Pathology. His work in Gene expression and Genome are all subfields of Gene research. His research investigates the connection between Gene expression and topics such as Real-time polymerase chain reaction that intersect with issues in Reverse transcriptase.
Jo Vandesompele mostly deals with Computational biology, RNA, Cancer research, Gene and Neuroblastoma. His study in Computational biology is interdisciplinary in nature, drawing from both Non-coding RNA, RNA-Seq, Extracellular RNA, Real-time polymerase chain reaction and Long non-coding RNA. Jo Vandesompele works in the field of Real-time polymerase chain reaction, namely Reference genes.
The study incorporates disciplines such as Normalization and Reverse transcriptase in addition to Reference genes. The various areas that Jo Vandesompele examines in his RNA study include Transcriptome, Gene expression, Sequencing data, Biomarker and Messenger RNA. His work deals with themes such as Phenotype, Gene silencing, In silico and FOXM1, which intersect with Cancer research.
Jo Vandesompele mainly investigates Computational biology, RNA, Gene, Gene expression and Neuroblastoma. His studies deal with areas such as Normalization, Non-coding RNA, Nucleic acid, Reverse transcriptase and Genome as well as Computational biology. His work is dedicated to discovering how Normalization, Human genetics are connected with Regulation of gene expression, Gene expression profiling and Long non-coding RNA and other disciplines.
His research in Reverse transcriptase focuses on subjects like Zebrafish, which are connected to Real-time polymerase chain reaction. Jo Vandesompele combines subjects such as Transcriptome and Sample with his study of RNA. His work carried out in the field of Neuroblastoma brings together such families of science as Cancer research and In silico.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes
Jo Vandesompele;Katleen De Preter;Filip Pattyn;Bruce Poppe.
Genome Biology (2002)
The MIQE Guidelines: Minimum Information for Publication of Quantitative Real-Time PCR Experiments
Stephen A. Bustin;Vladimir Benes;Jeremy A. Garson;Jan Hellemans.
Clinical Chemistry (2009)
qBase relative quantification framework and software for management and automated analysis of real-time quantitative PCR data
Jan Hellemans;Geert Mortier;Anne De Paepe;Franki Speleman.
Genome Biology (2007)
miR-9, a MYC/MYCN-activated microRNA, regulates E-cadherin and cancer metastasis
Li Ma;Jennifer Young;Harsha Prabhala;Elizabeth Pan.
Nature Cell Biology (2010)
Integrative genome analyses identify key somatic driver mutations of small-cell lung cancer
Martin Peifer;Lynnette Fernández-Cuesta;Martin L. Sos;Julie George.
Nature Genetics (2012)
A novel and universal method for microRNA RT-qPCR data normalization
Pieter Mestdagh;Pieter Van Vlierberghe;An-Sofie De Weer;Daniel Muth.
Genome Biology (2009)
How to do successful gene expression analysis using real-time PCR
Stefaan Derveaux;Jo Vandesompele;Jan Hellemans.
Methods (2010)
The impact of disparate isolation methods for extracellular vesicles on downstream RNA profiling
Jan Van Deun;Pieter Mestdagh;Raija Sormunen;Veronique Cocquyt.
Journal of extracellular vesicles (2014)
A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium
Zhenqiang Su;Paweł P. Łabaj;Sheng Li;Jean Thierry-Mieg.
Nature Biotechnology (2014)
The Digital MIQE Guidelines: Minimum Information for Publication of Quantitative Digital PCR Experiments
Jim F. Huggett;Carole A. Foy;Vladimir Benes;Kerry Emslie.
Clinical Chemistry (2013)
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