2013/06/15 · A novel data processing pipeline was proposed that combines several existing tools with a newly developed exome-based approach 'exomePeak'.
2013/04/14 · The advantages of exome-based analysis are mainly in two folds: first, working on exome avoids the isoform-related ambiguity, hence making all ...
Motivation: Fragmented RNA immunoprecipitation combined with RNA sequencing enabled the unbiased study of RNA epigenome at a near single-base resolution; ...
PDF | Motivation: Fragmented RNA immunoprecipitation combined with RNA sequencing enabled the unbiased study of RNA epigenome at a near single-base.
Motivation: Fragmented RNA immunoprecipitation combined with RNA sequencing enabled the unbiased study of RNA epigenome at a near single-base resolution; ...
2013/06/15 · Result: Through examining the connections of RNA epigenome sequencing data with two well-studied data types, ChIP-Seq and RNA-Seq, we unveiled ...
Here, we introduce HEP, a Hidden Markov Model (HMM)-based Exome Peak-finding algorithm for predicting transcriptome methylation sites in MeRIP- Seq data. In ...
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What is the difference between exome sequencing and RNA sequencing?
How do you analyse RNA-seq data?
What can you do with RNA-seq data?
Why do RNA-seq?
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2015/04/21 · We developed HEP, a Hidden Markov Model (HMM)-based Exome Peak-finding algorithm for predicting transcriptome methylation sites using MeRIP-seq ...
The package is developed for the analysis of affinity-based epitranscriptome shortgun sequencing data from MeRIP-seq (maA-seq).