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Modeling and cleaning RNA-seq data significantly improve detection of differentially expressed genes
Autor:
Igor V. Deyneko, Orkhan N. Mustafaev, Alexander А. Tyurin, Ksenya V. Zhukova, Alexander Varzari, Irina V. Goldenkova-Pavlova
Publikováno v:
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-14 (2022)
Abstract Background RNA-seq has become a standard technology to quantify mRNA. The measured values usually vary by several orders of magnitude, and while the detection of differences at high values is statistically well grounded, the significance of
Externí odkaz:
https://doaj.org/article/f176899df60449148035161160517f88
MotivationPolysome profiling is novel, and yet has proved to be an effective approach to detect mRNAs with differential ribosomal load and explore the regulatory mechanisms driving efficient translation. Genes encoding regulatory proteins, having a g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89e15f9c4f54914e5cf9046a208dc78e
https://doi.org/10.1101/2020.12.14.422662
https://doi.org/10.1101/2020.12.14.422662