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Exploring the RNA Editing Potential of RNA-Seq Data by ExpEdit
- Source :
- Methods in Molecular Biology ISBN: 9781493922901
- Publication Year :
- 2014
- Publisher :
- Springer New York, 2014.
-
Abstract
- Revealing the impact of A-to-I RNA editing in RNA-Seq experiments is relevant in humans because RNA editing can influence gene expression. In addition, its deregulation has been linked to a variety of human diseases. Exploiting the RNA editing potential in complete RNA-Seq datasets, however, is a challenging task. Indeed, no dedicated software is available, and sometimes deep computational skills and appropriate hardware resources are required. To explore the impact of known RNA editing events in massive transcriptome sequencing experiments, we developed the ExpEdit web service application. In the present work, we provide an overview of ExpEdit as well as methodologies to investigate known RNA editing in human RNA-Seq datasets.
- Subjects :
- ComputingMethodologies_PATTERNRECOGNITION
ComputingMethodologies_SIMULATIONANDMODELING
RNA editing
Sequence analysis
Computer science
TheoryofComputation_ANALYSISOFALGORITHMSANDPROBLEMCOMPLEXITY
Gene expression
Genomics
RNA-Seq
Computational biology
MathematicsofComputing_DISCRETEMATHEMATICS
Transcriptome Sequencing
Subjects
Details
- ISBN :
- 978-1-4939-2290-1
- ISBNs :
- 9781493922901
- Database :
- OpenAIRE
- Journal :
- Methods in Molecular Biology ISBN: 9781493922901
- Accession number :
- edsair.doi...........09b33897aa4852d013de63a6725cc948
- Full Text :
- https://doi.org/10.1007/978-1-4939-2291-8_20