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The database was filtered to include only tropical storms (TS) and hurricanes (Hu) whose tracks passed west of 75°W longitude within the Caribbean Sea (between 8 and 22°N latitude and between 61 and 89° W longitude).
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.
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A specific filter aiming to remove ribosomal reads was applied to data generated from metatranscriptomic libraries sequencing: briefly, the reads and their mates that mapped onto a ribosomal sequences database were filtered using SortMeRNA v 1.0 (ref. 48), a biological sequence analysis tool for filtering, mapping and OTU-picking NGS reads.
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.
In order to distinguish between true, putative protein-coding regions, and transposon- or contamination-related regions, the BLAST matches to the non-redundant protein database were filtered based on keyword matches in the BLAST hit descriptions.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com