bioRxivBioinformaticsPreprint
XpBrew and PanXpresso - automatic RNA-seq processing workflow and comprehensive collection of gene expression data
Shakunthala NatarajaniD, Claudia SterlingiD, Nancy ChoudharyiD, Najnin KhatuniD, Mia-Sophie BrieskeiD, Hannah Elisa BuschiD, Boas PuckeriD
Abstract
Rapid developments in sequencing technologies have reduced the costs of transcriptomic experiments and resulted in a plethora of publicly available RNA-seq datasets. This is a valuable resource that can be harnessed to obtain novel biological insights through data upcycling. In this wake, we introduce XpBrew, an end-to-end Python workflow that was applied to generate PanXpresso, a comprehensive collection of gene expression datasets covering the taxonomic breadth of plants, animals, fungi, bacteria and archaea. XpBrew (https://github.com/PuckerLab/XpBrew) and PanXpresso (https://doi.org/10.60507/FK2/OBIGQH) are freely available.
- organism: plant (other)
- organism: human
- organism: mouse
- assay: bulk RNA-seq
- research focus: database / resource
- approach: experimental assay
- Citations
- 0
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