This is a collection of RNA-seq datasets spanning Archaea and Bacteria. Each dataset has been converted into a consistent format, plotfiles, containing read-depths for each position of the corresponding genome. These files can be read by genome viewing tools such as Artemis so RNA-seq data can be viewed in the context of genome annotations.
Directional RNA-seq reveals highly complex condition-dependent transcriptomes in E. coliK12 through accurate full-length transcripts assembling. Li S, Dong X, Su Z. BMC Genomics. 2013 Jul 30;14(1):520. http://www.biomedcentral.com/1471-2164/14/520/abstract Computational analysis of bacterial RNA-Seq data. McClure R, Balasubramanian D, Sun Y, Bobrovskyy M, Sumby P, Genco CA, Vanderpool CK, Tjaden B. Nucleic Acids Res. 2013 May 28 http://nar.oxfordjournals.org/content/early/2013/05/28/nar.gkt444.long RNA at 92°C: The non-coding transcriptome of the hyperthermophilic archaeon Pyrococcus abyssi. Toffano-Nioche C, Ott A, Crozat E, Nguyen AN, Zytnicki M, Leclerc F, Forterre P, Bouloc P, Gautheret D. RNA Biol. 2013 Jul 2;10(7). Determination of sRNA Expressions by RNA-seq in Yersinia pestis Grown In Vitro and during Infection Yan et al. PLoS One. 2013; 8(9): e74495. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3770706/ RNA-Seq Analysis of Mycobacterium avium Non-Coding Transcriptome Ignatov et al. PLoS One. 2013; 8(9): e74209. http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0074209 Comparative analysis of non-coding RNAs in the antibiotic-producing Streptomyces bacteria Moody et al. BMC Genomics. 2013 http://www.biomedcentral.com/1471-2164/14/558/abstract Revealing of Mycobacterium marinum Transcriptome by RNA-seq Wang et al. PLoS ONE RNA-Seq of Bacillus licheniformis: active regulatory RNA features expressed within a productive fermentation Wiegand et al. BMC Genomics 2013, 14:667 Probing bacterial metabolism during infection using high-resolution transcriptomics Jorth et al. Aggregatibacter actinomycetemcomitans http://jb.asm.org/content/early/2013/08/19/JB.00875-13.short?rss=1 Comprehensive analysis of the Corynebacterium glutamicum transcriptome using an improved RNAseq technique Pfeifer-Sancar et al. http://www.biomedcentral.com/1471-2164/14/888/abstract Ammonium induces differential expression of methane and nitrogen metabolism-related genes in Methylocystis sp. strain SC2 Dam et al. http://onlinelibrary.wiley.com/doi/10.1111/1462-2920.12367/abstract