title: Whole-transcriptome sequencing for high-resolution transcriptomic analysis in Mycobacterium tuberculosis.
abstract: RNA-seq uses next-generation sequencing technology to determine the transcription profile of an organism in a quantitative manner. With respect to microarrays, this methodology allows greater resolution, increased dynamic range, and identification of new features such as previously unannotated genes and noncoding RNAs. Here we describe how to extract RNA from mycobacterial cultures, how to prepare libraries for Illumina sequencing, and the bioinformatics analysis of the sequencing data to determine the transcription profile.
authors.affiliation: Global Health Institute, École polytechnique fédérale de Lausanne (EPFL), CH-1015, Lausanne, Switzerland.
authors.forename: Andrej
authors.initials: A
authors.lastname: Benjak
authors.forename: Claudia
authors.initials: C
authors.lastname: Sala
authors.forename: Ruben C
authors.initials: RC
authors.lastname: Hartkoorn
mesh_terms: D019295:Computational Biology / Q000379:methods; D020869:Gene Expression Profiling; D015723:Gene Library; D023281:Genomics / Q000379:methods; D059014:High-Throughput Nucleotide Sequencing; D009169:Mycobacterium tuberculosis / Q000235:genetics*; D059467:Transcriptome