Challenges in estimating percent inclusion of alternatively spliced junctions from RNA-seq data.
about
iPfam: a database of protein family and domain interactions found in the Protein Data BankIntron-centric estimation of alternative splicing from RNA-seq data.Inference of alternative splicing from RNA-Seq data with probabilistic splice graphs.Design of RNA splicing analysis null models for post hoc filtering of Drosophila head RNA-Seq data with the splicing analysis kit (Spanki)EXIMS: an improved data analysis pipeline based on a new peak picking method for EXploring Imaging Mass Spectrometry data.A Quantitative Profiling Tool for Diverse Genomic Data Types Reveals Potential Associations between Chromatin and Pre-mRNA Processing.Deconvolving molecular signatures of interactions between microbial coloniesRegulation of alternative splicing in Drosophila by 56 RNA binding proteins.An internal promoter underlies the difference in disease severity between N- and C-terminal truncation mutations of Titin in zebrafishFineSplice, enhanced splice junction detection and quantification: a novel pipeline based on the assessment of diverse RNA-Seq alignment solutions.Probabilistic Segmentation of Mass Spectrometry (MS) Images Helps Select Important Ions and Characterize Confidence in the Resulting Segments.Deep learning of the tissue-regulated splicing code.Global optimization-based inference of chemogenomic features from drug-target interactions.Synthetic biosensors for precise gene control and real-time monitoring of metabolitesDEIsoM: a hierarchical Bayesian model for identifying differentially expressed isoforms using biological replicates.FreePSI: an alignment-free approach to estimating exon-inclusion ratios without a reference transcriptome.Genetic variation and alternative splicing.Cardiac circRNAs arise mainly from constitutive exons rather than alternatively spliced exons.
P2860
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P2860
Challenges in estimating percent inclusion of alternatively spliced junctions from RNA-seq data.
description
2012 nî lūn-bûn
@nan
2012 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
Challenges in estimating perce ...... d junctions from RNA-seq data.
@ast
Challenges in estimating perce ...... d junctions from RNA-seq data.
@en
Challenges in estimating perce ...... d junctions from RNA-seq data.
@nl
type
label
Challenges in estimating perce ...... d junctions from RNA-seq data.
@ast
Challenges in estimating perce ...... d junctions from RNA-seq data.
@en
Challenges in estimating perce ...... d junctions from RNA-seq data.
@nl
prefLabel
Challenges in estimating perce ...... d junctions from RNA-seq data.
@ast
Challenges in estimating perce ...... d junctions from RNA-seq data.
@en
Challenges in estimating perce ...... d junctions from RNA-seq data.
@nl
P2093
P2860
P1433
P1476
Challenges in estimating perce ...... d junctions from RNA-seq data.
@en
P2093
Boyko Kakaradov
Brendan J Frey
Hui Yuan Xiong
Nebojsa Jojic
P2860
P2888
P356
10.1186/1471-2105-13-S6-S11
P478
13 Suppl 6
P577
2012-04-19T00:00:00Z
P6179
1021618670