Functional microRNA targets in protein coding sequences
By Martin Reczko, Manolis Maragkakis, Panagiotis Alexiou, Ivo Grosse, Artemis G. Hatzigeorgiou. Bioinform., 2012
500 citations recorded by the source corpus.
Subfields: Cancer Research, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/64ed55c19ca83a1471961e580db81b154ba2a8ee
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
- Angela L. Riffo-Campos
- Priscilla Brebi-Mieville
- I. Riquelme
- Maria D. Paraskevopoulou
- Artemis G. Hatzigeorgiou
- Martin Reczko
- Theodore Dalamagas
- Ioannis S. Vlachos
In Molecular Biology
- Angela L. Riffo-Campos
- Priscilla Brebi-Mieville
- I. Riquelme
- Maria D. Paraskevopoulou
- Artemis G. Hatzigeorgiou
- Martin Reczko
- Theodore Dalamagas
- Ioannis S. Vlachos
Citations in the corpus
- Tools for Sequence-Based miRNA Target Prediction: What to Choose? (2016, methodology): “0) includes the prediction of miRNA:MRE recognition in the CDS region [66].”
- Mapping the Human miRNA Interactome by CLASH Reveals Frequent Noncanonical Binding (2013, unknown): “Functional miRNA-binding sites have occasionally been reported in 50 UTRs (Grey et al., 2010) and, more frequently, within mRNA coding sequences (Hafner et al., 2010a; Reczko et al., 2012).”
- DIANA miRPath v.2.0: investigating the combinatorial effect of microRNAs in pathways (2012, methodology): “DIANA-microT-CDS has been tested against a variety of high-throughput experimental data, exhibiting the highest sensitivity and specificity in comparison with other broadly used miRNA target prediction algorithms (19).”