Prediction and Quantification of Splice Events from RNA-Seq Data
about
Quantitative analysis of cryptic splicing associated with TDP-43 depletion.DRIMSeq: a Dirichlet-multinomial framework for multivariate count outcomes in genomics.RNA sequencing in post-mortem human brains of neuropsychiatric disorders.Snaptron: querying splicing patterns across tens of thousands of RNA-seq samples.Aldosterone-Sensing Neurons in the NTS Exhibit State-Dependent Pacemaker Activity and Drive Sodium Appetite via Synergy with Angiotensin II Signaling.Next generation sequencing identifies novel disease-associated BEST1 mutations in Bestrophinopathy patients.Comparison of RNA-seq and microarray platforms for splice event detection using a cross-platform algorithm
P2860
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P2860
Prediction and Quantification of Splice Events from RNA-Seq Data
description
2016 nî lūn-bûn
@nan
2016 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2016 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
name
Prediction and Quantification of Splice Events from RNA-Seq Data
@ast
Prediction and Quantification of Splice Events from RNA-Seq Data
@en
type
label
Prediction and Quantification of Splice Events from RNA-Seq Data
@ast
Prediction and Quantification of Splice Events from RNA-Seq Data
@en
prefLabel
Prediction and Quantification of Splice Events from RNA-Seq Data
@ast
Prediction and Quantification of Splice Events from RNA-Seq Data
@en
P2093
P2860
P1433
P1476
Prediction and Quantification of Splice Events from RNA-Seq Data
@en
P2093
Gregoire Pau
Leonard D Goldstein
Michael Lawrence
Somasekar Seshagiri
Thomas D Wu
P2860
P304
P356
10.1371/JOURNAL.PONE.0156132
P407
P577
2016-05-24T00:00:00Z