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Biocomputational prediction of non-coding RNAs in model cyanobacteria, , , , and . BMC Genomics, 10 (1): 123 (2009)00054.GLASSGo in Galaxy: High-Throughput, Reproducible and Easy-to-Integrate Prediction of sRNA Homologs, , , , , and . Bioinformatics, (June 2020)GLASSgo Setup & Usage : using GLASSgo via Docker, Galaxy and the Web Server, , , , , and . Software, (2020)Related to: Lott, S. C.; Schäfer, R. A.; Mann, M.; Backofen, R.; Hess, W. R.; Voß, B.; Georg, J. (2018): GLASSgo - Automated and Reliable Detection of sRNA Homologs From a Single Input Sequence. In: Frontiers in Genetics, 9:124. doi: 10.3389/fgene.2018.00124.GLASSgo - Automated and Reliable Detection of sRNA Homologs From a Single Input Sequence, , , , , , and . Frontiers in Genetics, (2018)Evidence for a major role of antisense RNAs in cyanobacterial gene regulation, , , , , and . Mol Syst Biol, (2009)00112.GLASSGO in GALAXY : high-throughput, reproducible and easy-to-integrate prediction of sRNA homologs, , , , , and . Bioinformatics, 36 (15): 4357–4359 (2020)An experimentally anchored map of transcriptional start sites in the model cyanobacterium Synechocystis sp. PCC6803, , , , , , , , , and 1 other author(s). Proceedings of the National Academy of Sciences, 108 (5): 2124 --2129 (February 2011)00150.GLASSgo - Automated and reliable detection of sRNA homologs from a single input sequence, , , , , , and . Frontiers in Genetics, (2018)How cyanobacteria pose new problems to old methods: challenges in microarray time series analysis., , , , , and . BMC Bioinformatics, (2013)CopraRNA and IntaRNA: predicting small RNA targets, networks and interaction domains., , , , , , , , and . Nucleic Acids Research, 42 (Webserver-Issue): 119-123 (2014)