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Chapitre D'ouvrage Année : 2013

Pardiff: Inference of Differential Expression at Base-Pair Level from RNA-Seq Experiments

Résumé

In the field of RNA-Seq transcriptomics, detecting differences in expression levels between two data-sets remains a challenging question. Most current methods consider only point estimates of the expression levels, and thus neglect the uncertainty of these estimates. Further, testing for differential expression is often done on predefined regions. Here, we propose Pardiff, a method that reconstructs the profile of differential expression at a base-pair resolution and incorporate uncertainty via the use of a Bayesian framework. This method is built on our approach, Parseq, to infer the transcriptional landscape from RNA-seq data.

Dates et versions

hal-01589473 , version 1 (18-09-2017)

Licence

Paternité - Partage selon les Conditions Initiales

Identifiants

Citer

Bogdan Mirauta, Pierre Nicolas, Hugues Richard. Pardiff: Inference of Differential Expression at Base-Pair Level from RNA-Seq Experiments. New Trends in Image Analysis and Processing – ICIAP 2013. ICIAP 2013. Lecture Notes in Computer Science, 8158, Springer, 2013, Lecture Notes in Computer Science, 978-3-642-41189-2. ⟨10.1007/978-3-642-41190-8_45⟩. ⟨hal-01589473⟩
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