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Clearly, RNA-Seq analysis is vulnerable to the general biases and errors inherent in the next-generation sequencing (NGS) technology upon which it is based.
In general, biases are a thing we want to get rid of, right?
Collectively, our results demonstrate that in analyzing a specific NGS dataset, it is necessary to both take into account general biases that are prevalent, or even inherent, in such data, but also to carefully assess the presence of experiment-specific biases in the dataset, and to tailor specific approaches to address such biases and avoid misinterpretation of the data.
Notably, the two general biases we characterize – nucleotide per cycle bias and mappability bias – will mostly affect analyses in which two genomic regions are compared to each other, such as when exons are compared to introns or when gene bodies are compared to transcription start sites.
In general, biases observed were greater in scenarios with a larger true treatment effect than a small effect.
Furthermore, some of these studies (e.g. 30) measured general biases that were independent of reviewer characteristics, which, as explained earlier, would be invisible to the methodology used here.
Similar(51)
This could imply some general bias regarding patient selection.
"Do I think there is general bias towards the left?
"There's been a general bias in the community against this particle existing," Dr. Hicks said.
To be sure, as people always say, Wall Street's general bias is to the upside.
In other words, we observed a general bias toward the desirable evidence.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com