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Mendeley readers
Chapter title |
Identification and Expression Analysis of Long Intergenic Noncoding RNAs
|
---|---|
Chapter number | 10 |
Book title |
Transcriptome Data Analysis
|
Published in |
Methods in molecular biology, January 2018
|
DOI | 10.1007/978-1-4939-7710-9_10 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7709-3, 978-1-4939-7710-9
|
Authors |
Ming-an Sun, Rihong Zhai, Qing Zhang, Yejun Wang |
Abstract |
Long intergenic noncoding RNAs (lincRNAs) have caught increasing attention in recent years. The advance of RNA-Seq has greatly facilitated the discovery of novel lincRNAs. However, the computational analysis of lincRNAs is still challenging. In this protocol, we presented a step-by-step protocol for computational analyses of lincRNAs, including read processing and alignment, transcript assembly, lincRNA identification and annotation, and differential expression analysis. |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 11 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 3 | 27% |
Student > Ph. D. Student | 2 | 18% |
Researcher | 2 | 18% |
Unspecified | 1 | 9% |
Student > Master | 1 | 9% |
Other | 0 | 0% |
Unknown | 2 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 2 | 18% |
Medicine and Dentistry | 2 | 18% |
Biochemistry, Genetics and Molecular Biology | 1 | 9% |
Unspecified | 1 | 9% |
Engineering | 1 | 9% |
Other | 0 | 0% |
Unknown | 4 | 36% |