Rapid and systematic analysis of the RNA recognition specificities of RNA-binding proteins
about
The nuclear-retained noncoding RNA MALAT1 regulates alternative splicing by modulating SR splicing factor phosphorylationRNA-binding protein HuR autoregulates its expression by promoting alternative polyadenylation site usageAdvances in the characterization of RNA-binding proteinsSpecificity and nonspecificity in RNA-protein interactionsComputational biology of RNA interactionsRNA-binding proteins in neurodegeneration: Seq and you shall receiveTargeting the Y/CCAAT box in cancer: YB-1 (YBX1) or NF-Y?High-throughput characterization of protein-RNA interactionsIdentification of RNA-protein interaction networks using PAR-CLIPAffinity regression predicts the recognition code of nucleic acid–binding proteinsCrystallographic Analysis of Polypyrimidine Tract-Binding Protein-Raver1 Interactions Involved in Regulation of Alternative SplicingComputational approaches towards understanding human long non-coding RNA biologyDissecting the expression landscape of RNA-binding proteins in human cancersSystematic analysis of cis-elements in unstable mRNAs demonstrates that CUGBP1 is a key regulator of mRNA decay in muscle cellsIdentification of evolutionarily conserved exons as regulated targets for the splicing activator tra2β in developmentIPMiner: hidden ncRNA-protein interaction sequential pattern mining with stacked autoencoder for accurate computational predictionStructure alignment-based classification of RNA-binding pockets reveals regional RNA recognition motifs on protein surfacesComputational Methods for CLIP-seq Data Processing.SNPlice: variants that modulate Intron retention from RNA-sequencing data.A Quantitative Profiling Tool for Diverse Genomic Data Types Reveals Potential Associations between Chromatin and Pre-mRNA Processing.RNAcontext: a new method for learning the sequence and structure binding preferences of RNA-binding proteins.Analysis of sequencing data for probing RNA secondary structures and protein-RNA binding in studying posttranscriptional regulations.RCK: accurate and efficient inference of sequence- and structure-based protein-RNA binding models from RNAcompete data.Bioinformatic tools for analysis of CLIP ribonucleoprotein dataDe novo prediction of PTBP1 binding and splicing targets reveals unexpected features of its RNA recognition and function.Sequence-non-specific effects of RNA interference triggers and microRNA regulators.The multiplicity of alternative splicing decisions in Caenorhabditis elegans is linked to specific intronic regulatory motifs and minisatellites.Cluster based prediction of PDZ-peptide interactionsGraphProt: modeling binding preferences of RNA-binding proteins.Learning the language of post-transcriptional gene regulation.Global regulation of mRNA translation and stability in the early Drosophila embryo by the Smaug RNA-binding protein.Differential protein occupancy profiling of the mRNA transcriptome.RBPmap: a web server for mapping binding sites of RNA-binding proteinsAn RRM-ZnF RNA recognition module targets RBM10 to exonic sequences to promote exon exclusionPost-transcriptional regulation of mu-opioid receptor: role of the RNA-binding proteins heterogeneous nuclear ribonucleoprotein H1 and FRegulation of alternative splicing by histone modifications.Emerging functions of SRSF1, splicing factor and oncoprotein, in RNA metabolism and cancer.Post-transcriptional control during chronic inflammation and cancer: a focus on AU-rich elements.RNA Bind-n-Seq: quantitative assessment of the sequence and structural binding specificity of RNA binding proteins.Predicting RNA-protein interactions using only sequence information.
P2860
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
P248
Q24297656-2429291A-4236-43AA-8B38-91AA31FE5326Q24609537-5D486D25-1560-4E0D-8ADC-F2B5F35880A2Q26738495-57E9FCE0-5108-4430-BBF1-B435B4D3CFEAQ26796990-F47E35DB-0F30-4163-89E3-5E4E1C14D988Q26852710-3A4A826C-1A51-4692-B1A7-176B24DB4CFCQ27000416-972DD63E-9C57-4587-95E7-9781E7D5CC95Q27006654-7D9A9B95-CCAF-4220-AD70-0922F67FE25DQ27013905-306EDE1C-3FAE-4961-894C-628982E61B26Q27023093-AF3763F7-B173-4071-9FE1-A4E15A83E7B8Q27313925-ED28634A-EB06-4041-8261-A7AEA82DE819Q27676040-BC316058-B2A7-48C6-A94E-08272A36EFD1Q28082457-18F37A1D-0861-42F6-BC33-2D56712A100AQ28305624-3550FA1D-162D-4D47-B6F4-76AABE2D6131Q28396278-34C19709-8388-464F-8125-7C81838ED535Q28588811-9DD6CCD9-3812-4F6C-BC8A-A0969A274BA4Q30376610-159242ED-B10B-4833-9993-18DB7370DF95Q30397328-00FDF547-9663-4B89-9541-37DE844328A6Q30863625-27560ED2-2F7A-4CC2-A40B-22727171073EQ30875087-77E1AACC-7BE5-429A-A1F4-6C4206DEFD78Q30982429-D686C6D4-3E4D-4A19-A837-764FCE536299Q30985446-ADD5665E-39F8-4143-B6FB-4683C12C48CDQ31031522-5071C5CA-1C4D-48F9-88A1-E7DC3592255AQ31108435-35AF5FE0-4F13-49A8-8D8A-0ED44C2AA668Q31150896-2F43CBA2-C1BC-4ABD-8026-292BB3371DACQ31151038-2104B59B-44FA-44D4-A005-39CE00413ECCQ33566425-4E4DCDA0-2BA4-462B-A229-9642F29344F8Q33691022-10E91A99-1A18-471F-B2F1-77AEF14E6D32Q33716154-305E0191-4FDE-4BE3-A8F8-90E292B1891AQ33741982-332E8D68-E5DC-478C-8535-8F40F5FAC67CQ33742097-8648CF14-3C3C-48E9-A00A-0406ABE612F7Q33742130-13EBBF93-2FB3-4E07-AA6A-40706A63CB8DQ33751471-983C86F4-3DA2-4000-95A5-E69BF782E76EQ33860779-09EA9E88-BCAF-4F47-BA95-3174ED1EB379Q33878647-2D647E7D-9AB8-4B10-B406-E614C8C7F05FQ33955519-CA1B237A-4EC4-4CF2-B269-9473C3631892Q34035543-E44139F8-6404-4DF1-A8A9-24FCAACC5563Q34040857-16CC03D4-E756-4944-B525-820763B95747Q34065213-D343768D-9053-459F-BEAA-46833B7FE393Q34079444-8BBF65F2-899A-4972-B54A-A36CDDE5F45BQ34109026-B6F52F7F-F337-4370-AA49-FF275A3BD0F7
P2860
Rapid and systematic analysis of the RNA recognition specificities of RNA-binding proteins
description
2009 nî lūn-bûn
@nan
2009 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
Rapid and systematic analysis ...... cities of RNA-binding proteins
@ast
Rapid and systematic analysis ...... cities of RNA-binding proteins
@en
Rapid and systematic analysis ...... cities of RNA-binding proteins
@en-gb
Rapid and systematic analysis ...... cities of RNA-binding proteins
@nl
type
label
Rapid and systematic analysis ...... cities of RNA-binding proteins
@ast
Rapid and systematic analysis ...... cities of RNA-binding proteins
@en
Rapid and systematic analysis ...... cities of RNA-binding proteins
@en-gb
Rapid and systematic analysis ...... cities of RNA-binding proteins
@nl
prefLabel
Rapid and systematic analysis ...... cities of RNA-binding proteins
@ast
Rapid and systematic analysis ...... cities of RNA-binding proteins
@en
Rapid and systematic analysis ...... cities of RNA-binding proteins
@en-gb
Rapid and systematic analysis ...... cities of RNA-binding proteins
@nl
P2093
P2860
P50
P921
P3181
P356
P1433
P1476
Rapid and systematic analysis ...... cities of RNA-binding proteins
@en
P2093
Benjamin J Blencowe
Debashish Ray
Hilal Kazan
Shaheynoor Talukder
Sidharth Chaudhry
Timothy R Hughes
P2860
P2888
P304
P3181
P356
10.1038/NBT.1550
P407
P577
2009-07-01T00:00:00Z
P5875
P6179
1016306836