Transcriptome
Kanchan Karmakar et al.
Transcriptomic Analysis With the Progress of Symbiosis in ‘Crack-Entry’ Legume Arachis hypogaea Highlights Its Contrast With ‘Infection Thread’ Adapted Legumes
Molecular Plant-Microbe Interactions 2018, vol. 32, issue 3
doi: 10.1094/mpmi-06-18-0174-r
Kaori Sakai et al.
Combining laser-assisted microdissection (LAM) and RNA-seq allows to perform a comprehensive transcriptomic analysis of epidermal cells of Arabidopsis embryo
Plant Methods 2018, vol. 14, issue 1
doi: 10.1186/s13007-018-0275-x
Jérôme Audoux et al.
DE-kupl: exhaustive capture of biological variation in RNA-seq data through k-mer decomposition
Genome Biology 2017, vol. 18, issue 1
doi: 10.1186/s13059-017-1372-2
Florence Rufflé et al.
New chimeric RNAs in acute myeloid leukemia
F1000Research 2017, vol. 6
doi: 10.12688/f1000research.11352.1
Valentina Boeva et al.
Heterogeneity of neuroblastoma cell identity defined by transcriptional circuitries
Nature Genetics 2017, vol. 49, issue 9
doi: 10.1038/ng.3921
Alain Meyer et al.
IFN-β-induced reactive oxygen species and mitochondrial damage contribute to muscle impairment and inflammation maintenance in dermatomyositis
Acta Neuropathologica 2017, vol. 134, issue 4
doi: 10.1007/s00401-017-1731-9
Legendre M. et al.
In-depth study of Mollivirus sibericum, a new 30,000-y-old giant virus infecting Acanthamoeba
Proc Nat Acad Sci U.S.A. 2015 112(38) :E5327-E5335.
doi: 10.1073/pnas.1510795112
Arguel MJ. et al.
A cost effective 5' selective single cell transcriptome profiling approach with improved UMI design
Nucleic Acids Res. (2016) Dec 9. pii: gkw1242
doi:
Guillem Rigaill et al.
Synthetic data sets for the identification of key ingredients for RNA-seq differential analysis
Briefings in Bioinformatics 2016
doi: 10.1093/bib/bbw092
et al.
Patents
Scientific American 2015, vol. 93, issue 26
doi: 10.1038/scientificamerican12231905-519