RNA-seq co-expression

  • coseq: Co-expression analysis of sequencing data, available at BioC
  • ICAL: Model selection for model based clustering of annotated data, available at GitHub
  • HTSCluster: Clustering high-throughput sequencing data with Poisson mixture models, available at CRAN
  • Godichon-Baggioni, A., Maugis-Rabusseau, C. and Rau, A. (2018) Clustering transformed compositional data using K-means, with applications in gene expression and bicycle sharing system data. Journal of Applied Statistics, 46(1):47-65. HAL PDF Preprint Software
  • Rau, A. and Maugis-Rabusseau, C. (2018) Transformation and model choice for RNA-seq co-expression analysis. Briefings in Bioinformatics, bbw128. HAL PDF Preprint Software
  • Mondet, F., Rau, A., Klopp, C., Rohmer, M. Severac, D., Le Conte, Y., and Alaux, C. (2018) Transcriptome profiling of the honeybee parasite Varroa destructor provides new biological insights into the mite adult life cycle. BMC Genomics, 19:328. HAL PDF
  • Sauvage, C., Rau, A., Aichholz, C., Chadoeuf, J., Sarah, G., Ruiz, M., Santoni, S., Causse, M., David, J., Glémin, S. (2017) Domestication rewired gene expression and nucleotide diversity patterns in tomato. The Plant Journal, 91(4):631-645. HAL PDF
  • Gallopin, M., Celeux, G., Jaffrézic, F., Rau, A. (2015) A model selection criterion for model-based clustering of annotated gene expression data. Statistical Applications in Genetics and Molecular Biology, 14(5): 413-428. HAL PDF Code
  • Rau, A., Maugis-Rabusseau, C., Martin-Magniette, M.-L., Celeux, G. (2015) Co-expression analysis of high-throughput transcriptome sequencing data with Poisson mixture models. Bioinformatics, 31(9): 1420-1427. HAL PDF Preprint Software

Talks

Co-expression analyses of RNA-seq data in practice with the R/Bioconductor package coseq
Jun 22, 2018 4:15 PM