Chapter title |
Bioinformatics Analysis of Small RNA Transcriptomes: The Detailed Workflow.
|
---|---|
Chapter number | 16 |
Book title |
Plant Epigenetics
|
Published in |
Methods in molecular biology, January 2017
|
DOI | 10.1007/978-1-4899-7708-3_16 |
Pubmed ID | |
Book ISBNs |
978-1-4899-7706-9, 978-1-4899-7708-3
|
Authors |
Slava Ilnytskyy, Andriy Bilichak |
Editors |
Igor Kovalchuk |
Abstract |
Next-generation sequencing became a method of choice for the investigation of small RNA transcriptomes in plants and animals. Although a technical side of sequencing itself is becoming routine, and experimental costs are affordable, data analysis still remains a challenge, especially for researchers with limited computational experience. Here, we present a detailed description of a computational workflow designed to take raw sequencing reads as input, to obtain small RNA predictions, and to detect the differentially expressed microRNAs as a result. The exact commands and pieces of code are provided and hopefully can be adapted and used by other researchers to facilitate the study of small RNA regulation. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 14 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 29% |
Student > Bachelor | 2 | 14% |
Student > Ph. D. Student | 2 | 14% |
Student > Postgraduate | 2 | 14% |
Professor > Associate Professor | 2 | 14% |
Other | 1 | 7% |
Unknown | 1 | 7% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 6 | 43% |
Agricultural and Biological Sciences | 5 | 36% |
Computer Science | 1 | 7% |
Unknown | 2 | 14% |