Reference : RNA-seq data and surprisal analysis of icl mutant and control strain of the green mic...
Scientific journals : Article
Life sciences : Biochemistry, biophysics & molecular biology
http://hdl.handle.net/2268/229177
RNA-seq data and surprisal analysis of icl mutant and control strain of the green microalga Chlamydomonas reinhardtii during day/night cycles
English
Willamme, R. [Genetics and Physiology of Microalgae, UR InBios, Chemin de la Vallée, 4, University of Liège, Liège, 4000, Belgium]
Bogaert, K. A. [Theoretical Physical Chemistry, UR MOLSYS, Allée du 6 Août, 11, University of Liège, Liège, 4000, Belgium]
Remacle, Françoise mailto [Université de Liège - ULiège > Département de chimie (sciences) > Laboratoire de chimie physique théorique >]
Remacle, Claire mailto [Université de Liège - ULiège > Département des sciences de la vie > Génétique et physiologie des microalgues >]
2018
Data in Brief
Elsevier Inc.
21
351-353
Yes (verified by ORBi)
International
2352-3409
[en] The data presented in this article are associated to the research article “Surprisal analysis of the transcriptomic response of the green microalga Chlamydomonas to the addition of acetate during day/night cycles” (Willamme et al., 2018) [1]. Here the RNA-seq data of the icl mutant, a null mutant of the isocitrate lyase gene, and its control are summarized and the FPKM values are listed. The data were analysed using surprisal analysis and the genes contributing the strongest to the mutant and wild type phenotype are listed. The raw data are accessible at BioProject PRJNA437393 with SRA accession number SRP136101 (experiments SRX3824204–SRX3824249). The raw data set and expression values used for surprisal analysis are made public to enable critical or extended analyses. © 2018 The Authors
Researchers ; Professionals ; Students
http://hdl.handle.net/2268/229177
10.1016/j.dib.2018.09.104
FP7 ; 618024 - BAMBI - Bottom-up Approaches to Machines dedicated to Bayesian Inference

File(s) associated to this reference

Fulltext file(s):

FileCommentaryVersionSizeAccess
Restricted access
Willamme et al 2018 data in brief.pdfPublisher postprint922.37 kBRequest copy

Bookmark and Share SFX Query

All documents in ORBi are protected by a user license.