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miRWalk: An online resource for prediction of microRNA binding sites
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“Moreover, target prediction algorithms like miRWalk use additional features to miRNA seed sequence for target prediction [51].”
From Hsa-mir-548 family expression in human reproductive tissues (2021) · cites this paper as [51]
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Research works printed but not linked: 8
- J Xu, 2013, The evolution of evolvability in microRNA target sites in vertebrates, Genome research, 23, 1810, 10.1101/gr.148916.112 · DOI
- V Agarwal, 2015, Predicting effective microRNA target sites in mammalian mRNAs, eLife, 4, 10.7554/eLife.05005 · DOI · Paper page
- S Bandyopadhyay, 2015, MBSTAR: multiple instance learning for predicting specific functional binding sites in microRNA targets, Scientific reports, 5, 8004, 10.1038/srep08004 · DOI
- J Ding, 2016, TarPmiR: a new approach for microRNA target site prediction, Bioinformatics, 32, 2768, 10.1093/bioinformatics/btw318 · DOI · Paper page
- JC Huang, 2007, Using expression profiling data to identify human microRNA targets, Nature methods, 4, 1045, 10.1038/nmeth1130 · DOI
- S. Griffiths-Jones, 2010, miRBase: microRNA sequences and annotation, Current protocols in bioinformatics, 10.1002/0471250953.bi1209s29 · DOI
- CH Chou, 2017, miRTarBase update 2018: a resource for experimentally validated microRNA-target interactions, Nucleic acids research
- H Dweep, 2014, miRWalk database for miRNA-target interactions, Methods in molecular biology, 1182, 289, 10.1007/978-1-4939-1062-5_25 · DOI
Cited by
Sorted by citations
Fusion-independent satellite cell communication to muscle fibers during load-induced hypertrophy
Murach, K. A., Vechetti, I. J., Van Pelt, D. W., Crow, S. E., Dungan, C. M., Figueiredo, V. C., Kosmac, K., Fu, X., Richards, C. I., Fry, C. S., et al. (2020) · Function · doi:10.1093/function/zqaa009 · Cited by 94
Ibrahim, S., Johnson, M., Stephens, C. H., Xu, J., Moore, R., Mariani, A., Contreras, C., Syed, F., Mirmira, R. G., Anderson, R. M., et al. (2021) · Molecular Metabolism · doi:10.1016/j.molmet.2021.101289 · Cited by 18
Hsa-mir-548 family expression in human reproductive tissues
Rooda, I., Kaselt, B., Liivrand, M., Smolander, O.-P., Salumets, A., & Velthut-Meikas, A. (2021) · BMC Genomic Data · doi:10.1186/s12863-021-00997-w · Cited by 17
Scalzone, A., Sanjurjo-Rodríguez, C., Berlinguer-Palmini, R., Dickinson, A. M., Jones, E., Wang, X.-N., & Crossland, R. E. (2024) · Bioengineering · doi:10.3390/bioengineering11040388 · Cited by 16
emiRIT: a text-mining-based resource for microRNA information
Roychowdhury, D., Gupta, S., Qin, X., Arighi, C. N., & Vijay-Shanker, K. (2021) · Database · doi:10.1093/database/baab031 · Cited by 15
Metadata
- Authors
- Sticht, C., De La Torre, C., Parveen, A., & Gretz, N.
- ORCID
- Sticht, Carsten
- Venue
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2018-10-18
- Volume
- 13
- Issue
- 10
- Pages
- e0206239
- ISSN
- 1932-6203
- PMC
- PMC6193719
- Cited by
- 1,607
- References
- 0
- Language
- en
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- The paper
- Sticht, C., De La Torre, C., Parveen, A., & Gretz, N. (2018). miRWalk: An online resource for prediction of microRNA binding sites. PLOS ONE. https://doi.org/10.1371/journal.pone.0206239
