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Global gene expression analyses in bacteria have undergone a dramatic transformation. Prior to the development of high-throughput sequencing technologies, real-time PCR or microarray studies were the mainstay of assessing differences in gene expression in bacteria. Real-time PCR remains a critical tool for targeted gene expression analyses. However, microarray studies have given way to the plethora of advantages in RNA sequencing (RNA-seq) for the determination of global gene expression (i.e., transcriptome). Increased accessibility to high-throughput sequencing and user-friendly bioinformatics data analysis software have made RNA-seq technology use more widespread. Here, we provide comprehensive methods to perform RNA sequencing of Streptococcus pyogenes strains grown in vitro in standard laboratory media, including cell growth, RNA extraction, ribosomal RNA depletion, and library construction. Considerations for library sequencing and data analysis are also provided.
Base Composition, Genome, Base Sequence, Sequence Analysis, RNA, Streptococcus pyogenes, Gene Expression Profiling, Computational Biology, High-Throughput Nucleotide Sequencing, Genomics, RNA, Ribosomal, Humans, RNA, Transcriptome, Software
Base Composition, Genome, Base Sequence, Sequence Analysis, RNA, Streptococcus pyogenes, Gene Expression Profiling, Computational Biology, High-Throughput Nucleotide Sequencing, Genomics, RNA, Ribosomal, Humans, RNA, Transcriptome, Software
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 5 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
