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It just requires a database of known structures for the respective RNA type as input.
Similar to how sequencing studies require reference databases such as BOLD or GenBank, FAFLP analysis requires a database of FAFLP sizes for all species in a community.
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These methods heavily rely on the pre-existing knowledge about the molecules in the database, and require a database of small molecules with known binding targets.
One group, the empirical models (e.g. One Slope Model [4]), utilises relatively simple formulas containing empirical parameters to estimate path-loss and therefore do not require a database of exact positions of obstacles.
Many state-of-the-art denoising algorithms utilize structures and characteristics pertaining to the noisy image such as the image self-similarity sparsity and fixed representations to filter out the noise and in some cases require a database of images of the same object.
Unlike many other site-specific models, our model does not require a database of material properties which form obstacles in a scenario as the material properties are replaced by a few probabilistic parameters which are optimised by means of a measurement campaign.
Using an assembly algorithm is a fast and intuitive way to link (partially) homologous reads without requiring a database of reference sequences.
Others require a database of defined splice junctions, which is problematic to create due to the pervasive nature of the intronic reads (Additional file 1: Figure S9).
This requires a database with records of various population characteristics, such as age and gender in a specific country.
Predicting microbial growth requires a database containing a large amount of information about the effects of the composition and processing of meat products on pathogen survival, growth, and death.
Such data models are fixed structure and require a database locking for a certain period of time upon migration processes, such as from one version to another version, adding more attributes to a table etc.
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