Chapter title |
Transcriptome Analysis of PA Gain and Loss of Function Mutants
|
---|---|
Chapter number | 30 |
Book title |
Polyamines
|
Published in |
Methods in molecular biology, January 2018
|
DOI | 10.1007/978-1-4939-7398-9_30 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7397-2, 978-1-4939-7398-9
|
Authors |
Francisco Marco, Pedro Carrasco |
Abstract |
Functional genomics has become a forefront methodology for plant science thanks to the widespread development of microarray technology. While technical difficulties associated with the process of obtaining raw expression data have been diminishing, allowing the appearance of tremendous amounts of transcriptome data in different databases, a common problem using "omic" technologies remains: the interpretation of these data and the inference of its biological meaning. In order to assist to this complex task, a wide variety of software tools have been developed. In this chapter we describe our current workflow of the application of some of these analyses. We have used it to compare the transcriptome of plants with differences in their polyamine levels. |
X Demographics
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
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 | 4 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 75% |
Lecturer | 1 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 75% |
Agricultural and Biological Sciences | 1 | 25% |