Systematic comparison of microarray profiling, real-time PCR, and next-generation sequencing technologies for measuring differential microRNA expression.

By Anna Git, H. Dvinge, M. Salmon-Divon, Michelle Osborne, C. Kutter, J. Hadfield, Paul Bertone, Carlos Caldas. RNA: A publication of the RNA Society, 2010

682 citations recorded by the source corpus.

Subfields: Cancer Research, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/0725694378cdb61f8a539ded59d2a79f371a519a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cancer Research

1. Pavel Morozov
2. Jiuyong Li
3. Murray J. Cairns
4. Thomas Tuschl
5. Bing Liu
6. T. Farazi
7. J. Hoell
8. David P. Bartel

In Molecular Biology

1. Pavel Morozov
2. T. Farazi
3. Jiuyong Li
4. Murray J. Cairns
5. Thomas Tuschl
6. Bing Liu
7. J. Hoell
8. David P. Bartel

Citations in the corpus

• Identifying miRNAs, targets and functions (2012, background): “It is worth noting that in general there is good concordance between the platforms [77, 78] particularly in terms of the biological interpretation [79].”
• MicroRNAs in human cancer. (2013, result): “Recent studies have compared the results obtained using multiple platforms [37].”