The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
miFRame: analysis and visualization of miRNA sequencing data in neurological disorders
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“a switch of expression from one miRNA arm to the other might have implications for maladies like Alzheimer’s disease (30).”
From miRNATissueAtlas2: an update to the human miRNA tissue atlas (2022) · cites this paper as [30]
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Cites
Londin, E., Loher, P., Telonis, A. G., Quann, K., Clark, P., Jing, Y., Hatzimichael, E., Kirino, Y., Honda, S., Lally, M., et al. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1420955112 · Cited by 404
Research works printed but not linked: 17
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- Hackenberg M, Rodriguez-Ezpeleta N, Aransay AM (2011) miRanalyzer: an update on the detection and analysis of microRNAs in high-throughput sequencing experiments. Nucleic Acids Res 39:W132–W138 · DOI
- Hackenberg M, Sturm M, Langenberger D, Falcon-Perez JM, Aransay AM (2009) miRanalyzer: a microRNA detection and analysis tool for next-generation sequencing experiments. Nucleic Acids Res 37:W68–W76 · DOI
- Pantano L, Estivill X, Marti E (2010) SeqBuster, a bioinformatic tool for the processing and analysis of small RNAs datasets, reveals ubiquitous miRNA modifications in human embryonic cells. Nucleic Acids Res 38:e34 · DOI
- Wu J, Liu Q, Wang X, Zheng J, Wang T, You M et al (2013) mirTools 2.0 for non-coding RNA discovery, profiling, and functional annotation based on high-throughput sequencing. RNA Biol 10:1087–1092 · DOI
- Zhu E, Zhao F, Xu G, Hou H, Zhou L, Li X et al (2010) mirTools: microRNA profiling and discovery based on high-throughput sequencing. Nucleic Acids Res 38:W392–W397 · DOI
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- Zhao W, Liu W, Tian D, Tang B, Wang Y, Yu C et al (2011) wapRNA: a web-based application for the processing of RNA sequences. Bioinformatics 27:3076–3077 · DOI
- Yuan T, Huang X, Dittmar RL, Du M, Kohli M, Boardman L et al (2014) eRNA: a graphic user interface-based tool optimized for large data analysis from high-throughput RNA sequencing. BMC Genom 15:176 · DOI
- Buermans HP, Ariyurek Y, van Ommen G, den Dunnen JT, t Hoen PA (2010) New methods for next generation sequencing based microRNA expression profiling. BMC Genom 11:716 · DOI
- Friedlander MR, Chen W, Adamidi C, Maaskola J, Einspanier R, Knespel S et al (2008) Discovering microRNAs from deep sequencing data using miRDeep. Nat Biotech 26:407–415 · DOI
- Friedländer MR, Mackowiak SD, Li N, Chen W, Rajewsky N (2012) miRDeep2 accurately identifies known and hundreds of novel microRNA genes in seven animal clades. Nucleic Acids Res 40(1):37–52. doi: 10.1093/nar/gkr688 · DOI · Paper page
- Zhang Y, Xu B, Yang Y, Ban R, Zhang H, Jiang X et al (2012) CPSS: a computational platform for the analysis of small RNA deep sequencing data. Bioinformatics 28:1925–1927 · DOI
- Muller S, Rycak L, Winter P, Kahl G, Koch I, Rotter B (2013) omiRas: a Web server for differential expression analysis of miRNAs derived from small RNA-Seq data. Bioinformatics 29:2651–2652 · DOI
- Seguin J, Otten P, Baerlocher L, Farinelli L, Pooggin MM (2014) MISIS: a bioinformatics tool to view and analyze maps of small RNAs derived from viruses and genomic loci generating multiple small RNAs. J Virol Methods 195:120–122 · DOI
- Leidinger P, Backes C, Deutscher S, Schmitt K, Mueller SC, Frese K et al (2013) A blood based 12-miRNA signature of Alzheimer disease patients. Genome Biol 14:R78 · DOI
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Cited by
Sorted by citations
miRNATissueAtlas2: an update to the human miRNA tissue atlas
Keller, A., Gröger, L., Tschernig, T., Solomon, J., Laham, O., Schaum, N., Wagner, V., Kern, F., Schmartz, G. P., Li, Y., et al. (2022) · Nucleic Acids Research · doi:10.1093/nar/gkab808 · Cited by 143
Self-citation
Metadata
- Authors
- Backes, C., Haas, J., Leidinger, P., Frese, K., Großmann, T., Ruprecht, K., Meder, B., Meese, E., & Keller, A.
- Venue
- Journal of Translational Medicine
- Published
- 2015-07-14
- Volume
- 13
- Issue
- 1
- ISSN
- 1479-5876
- PMC
- PMC4501052
- Cited by
- 11
- References
- 1
- Language
- en
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