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The overlap between these two public databases was filtered resulting in 21,582 sequences.
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MIRNA and EXPR databases were filtered using a correlation and quantization strategy.
To identify putative novel miRNAs, the small RNA tags that matched the miRBase and Rfam databases were filtered and the remaining tags were aligned with the Populus trichocarpa genome using the SOAP 2.0 program [ 23], due to absence of a reference genome for the olive tree.
This database was filtered down to contain only those projects that have changed their listed licenses over the years covered in the obtained dataset.
> -wrap-foot> For the identification of miRNA responsive elements (MREs) within the mRNA 3′ UTRs, the complete list of 6121 mammalian miRNAs of TargetScan database was filtered for 4582 nonhuman miRNAs.
The protein data in PDB database are filtered through the rules below: 1.
This database is filtered as follows.
First, the scent-related genes in the scent floral bud unigene database were filtered by in silico hybridization using the unigene database of the P. equestris flower bud as probes.
After resubmission to the Seven Golden Rules (with a 100% IAE threshold), the remaining elemental compositions present in the PubChem database were filtered by the number of carbon and nitrogen atoms known to be present from the spectral data.
TFs with less than 20 targets in the normal network or showing less than 500 peaks in hmChIP database were filtered out to avoid focusing on tissue-specific regulations.
Variants with low sequencing coverage (<10) and those with an allelic frequency ≥0.5% in the 1000 Genomes Project, Exome Variant Server, Geuvadis European Exome Variants Server, or the Centre Nacional d'Anàlisi Genòmica in-house database were filtered out.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com