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Genome-wide scans using linkage and association methods have identified a number of suggestive genomic regions that are pending replication.
Altogether, our methods have identified nine novel RNA molecules, doubling the size of PCV-1 transcriptome that had been known before.
For example, these forensic methods have identified hair from a specific dog known to be present at the scene of the crime which was attached to a suspect's shoe, or pieces of matching plastic have been found lodged in a shoe and at a murder scene.
Genome-scale methods have identified thousands of candidate cis-regulatory elements (CREs), but methods to directly assay the regulatory function of these elements on a comparably large scale have not been available.
Crowd-based methods have identified errors in SNOMED CT, a large, clinical ontology, with an accuracy similar to that of experts, suggesting that crowdsourcing is indeed a feasible approach for identifying ontology errors.
Researchers using these methods have identified a number of series, each of which reaches its turning point 2 to 10 months before the turns in general business activity, as well as another group of series, each of which follows the turns in business by 2 to 7 months.
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Each of these methods has identified interesting candidate substrates, some of which have been validated using various biochemical tests.
This view again revealed that MD captured surprisingly many disordered regions that none of the other methods had identified.
Recent work in England using time-series methods has identified associations between numbers of weekly reports of laboratory-confirmed infections with Campylobacter, M. pneumoniae and influenza, and incidence of hospitalization for GBS in subsequent weeks [24].
The use of multiple methods has identified numerous factors that warrant further investigation in Tunisia and other similar low/middle income countries.
We demonstrate our results on several example cases, including two family trios in which it correctly found the disease-causing variant while excluding thousands of harmless variants that standard methods had identified.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com