| Chapter title |
RNA-Seq-Based Comparative Transcriptomics: RNA Preparation and Bioinformatics
|
|---|---|
| Chapter number | 5 |
| Book title |
Methods in Molecular Biology
|
| Published in |
Methods in molecular biology, July 2017
|
| DOI | 10.1007/978-1-4939-7183-1_5 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7182-4, 978-1-4939-7183-1
|
| Authors |
Rodríguez-García, Antonio, Sola-Landa, Alberto, Barreiro, Carlos, Antonio Rodríguez-García, Alberto Sola-Landa, Carlos Barreiro |
| Abstract |
The major transcriptome analysis is the determination of differentially expressed genes across experimental conditions. For this, the next-generation sequencing of RNA (RNA-seq) is an increasingly cost-effective technology for the analysis of transcriptomes with several advantages over gene expression microarrays, such as its higher sensitivity and accuracy, broader dynamic range, and the ability to detect novel transcripts, including noncoding RNA molecules, at nucleotide-level resolution. Although these advantages, many microbiology laboratories have not yet applied RNA-seq analyses to their investigations. The high cost of the equipment for next-generation sequencing is no longer an issue, since this intermediate part of the analysis can be provided by commercial or central services. Here, we detail a protocol for the first part of the analysis, the RNA extraction, and an introductory protocol to the bioinformatics analysis of the sequencing data that generates the differential expression results. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 20% |
| France | 1 | 10% |
| Malaysia | 1 | 10% |
| United Kingdom | 1 | 10% |
| Unknown | 5 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 70% |
| Scientists | 3 | 30% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 28% |
| Researcher | 8 | 19% |
| Other | 3 | 7% |
| Student > Bachelor | 3 | 7% |
| Student > Postgraduate | 2 | 5% |
| Other | 7 | 16% |
| Unknown | 8 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 17 | 40% |
| Agricultural and Biological Sciences | 6 | 14% |
| Medicine and Dentistry | 2 | 5% |
| Immunology and Microbiology | 2 | 5% |
| Environmental Science | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 12 | 28% |