6533b870fe1ef96bd12cefb4

RESEARCH PRODUCT

Transcriptome Analysis of PA Gain and Loss of Function Mutants

Francisco MarcoPedro Carrasco

subject

0301 basic medicineComputer scienceMicroarray analysis techniquesProcess (engineering)MutantComputational biologyOmicsTranscriptomeGene expression profiling03 medical and health sciences030104 developmental biologyMolecular Sequence AnnotationGene chip analysisFunctional genomicsLoss function

description

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.

yearjournalcountryeditionlanguage
2017-10-28
https://doi.org/10.1007/978-1-4939-7398-9_30