Briefings in BioinformaticsBioinformaticsPeer-reviewed journal article
bulkAnalyseR: An accessible, interactive pipeline for analysing and sharing bulk multi-modal sequencing data
Ilias MoutsopoulosiD, Eleanor C WilliamsiD, Irina I MohorianuiD
Abstract
Bulk sequencing experiments (single- and multi-omics) are essential for exploring wide-ranging biological questions. To facilitate interactive, exploratory tasks, coupled with the sharing of easily accessible information, we present bulkAnalyseR, a package integrating state-of-the-art approaches using an expression matrix as the starting point (pre-processing functions are available as part of the package). Static summary images are replaced with interactive panels illustrating quality-checking, differential expression analysis (with noise detection) and biological interpretation (enrichment analyses, identification expression patterns, followed by inference and comparison of regulatory interactions). bulkAnalyseR can handle different modalities, facilitating robust integration and comparison of cis-, trans- and customised regulatory networks. bulkAnalyseR is available on CRAN and GitHub, with extensive documentation and usage examples (https://github.com/Core-Bioinformatics/bulkAnalyseR, https://cran.r-project.org/web/packages/bulkAnalyseR/) ContactIrina Mohorianu iim22@cam.ac.uk
- assay: bulk RNA-seq
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: statistical model
- Citations
- 19
- FWCI
- 1.47
- Field percentile
- top 18%
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