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Users can therefore intersect any novel high-throughput screen dataset with a multitude of their own unpublished datasets.
Here in this manuscript, we describe a computational strategy for predictive modeling of small molecules with potential to inhibit specific microRNAs, based on machine learning from high-throughput screen dataset for modulators of microRNA mir-21 [13], a well studied oncomiR.
The left and right junctions of the replacement were included among the 13 loci sequenced from the PCR screen dataset, and the recombination breakpoints previously described for strains EMRSA11 and Fin75541 [8] were observed here.
The NCI AIDS Antiviral Screen dataset contains structure and activity information for 44 150 compounds, among which 1812 are classified as having antiviral activity.
To test the performance of the proposed methods and models, experiments on similarity search and bioactivity prediction have been performed on two publicly available compound datasets, the NCI AIDS Antiviral Screen dataset and a subset of the NCI Human Tumor Cell Line Screen dataset.
The same first screen dataset was then BlastN compared with the assembled database, and repeated motif sequences occurring on more than two different UniSeqs (E-value of < 1.10-20) were considered as A. viridis repeat sequences.
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There are currently no tools available to general public that allow users to cross-reference their screen datasets with published screen datasets.
To view large-scale RNAi screen datasets visit the Screen Summary page.
CrossCheck's reference database is updated quarterly and constantly growing, as new high-throughput screen datasets are published.
This helps cross-experiment analysis, including analysis of RNAi screen datasets here at the DRSC and cell line data generated as part of the modENCODE project (which used cells from the DRSC).
With regards to the number of databases or screen datasets incorporated, to our knowledge, no published database is comparable to CrossCheck, as even the largest monotype database, such as BioGRID, currently amounts to only 49986 entries, while CrossCheck currently consists of 614,161 entries.
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