Computational Methods for CLIP-seq Data Processing

scientific article

Computational Methods for CLIP-seq Data Processing is …
instance of (P31):
scholarly articleQ13442814
review articleQ7318358

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P356DOI10.4137/BBI.S16803
P932PMC publication ID4196881
P698PubMed publication ID25336930

P50authorElisa FicarraQ59550821
P2093author name stringPaula H Reyes-Herrera
P2860cites workDiverse RNA-binding proteins interact with functionally related sets of RNAs, suggesting an extensive regulatory systemQ21092736
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RNA processing and its regulation: global insights into biological networksQ29615182
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Analysis of base-pairing probabilities of RNA molecules involved in protein-RNA interactions.Q43529036
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Mixture models and wavelet transforms reveal high confidence RNA-protein interaction sites in MOV10 PAR-CLIP dataQ34356281
A compendium of RNA-binding motifs for decoding gene regulation.Q34357005
Finding the right RNA: identification of cellular mRNA substrates for RNA-binding proteinsQ34362046
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RNA-binding proteins in plants: the tip of an iceberg?Q34787041
Deciphering the role of RNA-binding proteins in the post-transcriptional control of gene expressionQ34832055
Analysis of RNA motifsQ35165221
Repeat-associated non-AUG translation and its impact in neurodegenerative diseaseQ35340115
Post-transcriptional control of gene expression: a genome-wide perspective.Q36212740
Genome-wide approaches to dissect the roles of RNA binding proteins in translational control: implications for neurological diseasesQ36291543
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A compendium of Caenorhabditis elegans RNA binding proteins predicts extensive regulation at multiple levelsQ36588985
Developing global insight into RNA regulationQ36768147
Computational prediction of RNA structural motifs involved in posttranscriptional regulatory processesQ36937064
Post-transcriptional gene regulation: from genome-wide studies to principlesQ37017153
Prediction of clustered RNA-binding protein motif sites in the mammalian genome.Q37080345
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Understanding the transcriptome through RNA structureQ37919342
Transcriptome-wide analysis of protein-RNA interactions using high-throughput sequencing.Q37972715
P921main subjectdata processingQ6661985
P304page(s)199-207
P577publication date2014-10-01
P1433published inBioinformatics and Biology InsightsQ4914913
P1476titleComputational Methods for CLIP-seq Data Processing
P478volume8

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cites work (P2860)
Q36391211A deep boosting based approach for capturing the sequence binding preferences of RNA-binding proteins from high-throughput CLIP-seq data
Q31031522Analysis of sequencing data for probing RNA secondary structures and protein-RNA binding in studying posttranscriptional regulations
Q35727554BackCLIP: a tool to identify common background presence in PAR-CLIP datasets
Q54223780CLIP-related methodologies and their application to retrovirology.
Q91440857Clip for studying protein-RNA interactions that regulate virus replication
Q35770670Design and bioinformatics analysis of genome-wide CLIP experiments
Q36347069Highly accessible AU-rich regions in 3' untranslated regions are hotspots for binding of regulatory factors
Q38435553Seten: a tool for systematic identification and comparison of processes, phenotypes, and diseases associated with RNA-binding proteins from condition-specific CLIP-seq profiles.
Q26796990Specificity and nonspecificity in RNA-protein interactions
Q37032666Techniques and Approaches to Genetic Analyses in Nephrological Disorders
Q38578754The RNA world in the 21st century-a systems approach to finding non-coding keys to clinical questions.
Q36434925miRTarBase 2016: updates to the experimentally validated miRNA-target interactions database
Q58553596omniCLIP: probabilistic identification of protein-RNA interactions from CLIP-seq data

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