255 related articles for article (PubMed ID: 30827501)
1. Discovery of Allele-Specific Protein-RNA Interactions in Human Transcriptomes.
Bahrami-Samani E; Xing Y
Am J Hum Genet; 2019 Mar; 104(3):492-502. PubMed ID: 30827501
[TBL] [Abstract][Full Text] [Related]
2. Large-Scale Profiling of RBP-circRNA Interactions from Public CLIP-Seq Datasets.
Zhang M; Wang T; Xiao G; Xie Y
Genes (Basel); 2020 Jan; 11(1):. PubMed ID: 31947823
[TBL] [Abstract][Full Text] [Related]
3. Computational Analysis of RNA-Protein Interactions via Deep Sequencing.
Li L; Förstner KU; Chao Y
Methods Mol Biol; 2018; 1751():171-182. PubMed ID: 29508297
[TBL] [Abstract][Full Text] [Related]
4. CLIPdb: a CLIP-seq database for protein-RNA interactions.
Yang YC; Di C; Hu B; Zhou M; Liu Y; Song N; Li Y; Umetsu J; Lu ZJ
BMC Genomics; 2015 Feb; 16(1):51. PubMed ID: 25652745
[TBL] [Abstract][Full Text] [Related]
5. Seten: a tool for systematic identification and comparison of processes, phenotypes, and diseases associated with RNA-binding proteins from condition-specific CLIP-seq profiles.
Budak G; Srivastava R; Janga SC
RNA; 2017 Jun; 23(6):836-846. PubMed ID: 28336542
[TBL] [Abstract][Full Text] [Related]
6. rMAPS: RNA map analysis and plotting server for alternative exon regulation.
Park JW; Jung S; Rouchka EC; Tseng YT; Xing Y
Nucleic Acids Res; 2016 Jul; 44(W1):W333-8. PubMed ID: 27174931
[TBL] [Abstract][Full Text] [Related]
7. Leveraging cross-link modification events in CLIP-seq for motif discovery.
Bahrami-Samani E; Penalva LO; Smith AD; Uren PJ
Nucleic Acids Res; 2015 Jan; 43(1):95-103. PubMed ID: 25505146
[TBL] [Abstract][Full Text] [Related]
8. Mapping the Transcriptome-Wide Landscape of RBP Binding Sites Using gPAR-CLIP-seq: Bioinformatic Analysis.
Freeberg MA; Kim JK
Methods Mol Biol; 2016; 1361():91-104. PubMed ID: 26483018
[TBL] [Abstract][Full Text] [Related]
9. omniCLIP: probabilistic identification of protein-RNA interactions from CLIP-seq data.
Drewe-Boss P; Wessels HH; Ohler U
Genome Biol; 2018 Nov; 19(1):183. PubMed ID: 30384847
[TBL] [Abstract][Full Text] [Related]
10. Practical considerations on performing and analyzing CLIP-seq experiments to identify transcriptomic-wide RNA-protein interactions.
Chen X; Castro SA; Liu Q; Hu W; Zhang S
Methods; 2019 Feb; 155():49-57. PubMed ID: 30527764
[TBL] [Abstract][Full Text] [Related]
11. SURF: integrative analysis of a compendium of RNA-seq and CLIP-seq datasets highlights complex governing of alternative transcriptional regulation by RNA-binding proteins.
Chen F; Keleş S
Genome Biol; 2020 Jun; 21(1):139. PubMed ID: 32532357
[TBL] [Abstract][Full Text] [Related]
12. Computational analysis of CLIP-seq data.
Uhl M; Houwaart T; Corrado G; Wright PR; Backofen R
Methods; 2017 Apr; 118-119():60-72. PubMed ID: 28254606
[TBL] [Abstract][Full Text] [Related]
13. Transcriptome-Wide Mapping of Protein-RNA Interactions.
Bi X; Shen X
Methods Mol Biol; 2020; 2161():161-173. PubMed ID: 32681512
[TBL] [Abstract][Full Text] [Related]
14. Transcriptome-wide Identification of RNA-binding Protein Binding Sites Using Photoactivatable-Ribonucleoside-Enhanced Crosslinking Immunoprecipitation (PAR-CLIP).
Maatz H; Kolinski M; Hubner N; Landthaler M
Curr Protoc Mol Biol; 2017 Apr; 118():27.6.1-27.6.19. PubMed ID: 28369676
[TBL] [Abstract][Full Text] [Related]
15. Identification of RNA-RBP Interactions in Subcellular Compartments by CLIP-Seq.
Sahadevan S; Pérez-Berlanga M; Polymenidou M
Methods Mol Biol; 2022; 2428():305-323. PubMed ID: 35171488
[TBL] [Abstract][Full Text] [Related]
16. A deep boosting based approach for capturing the sequence binding preferences of RNA-binding proteins from high-throughput CLIP-seq data.
Li S; Dong F; Wu Y; Zhang S; Zhang C; Liu X; Jiang T; Zeng J
Nucleic Acids Res; 2017 Aug; 45(14):e129. PubMed ID: 28575488
[TBL] [Abstract][Full Text] [Related]
17. Design and bioinformatics analysis of genome-wide CLIP experiments.
Wang T; Xiao G; Chu Y; Zhang MQ; Corey DR; Xie Y
Nucleic Acids Res; 2015 Jun; 43(11):5263-74. PubMed ID: 25958398
[TBL] [Abstract][Full Text] [Related]
18. A combined sequence and structure based method for discovering enriched motifs in RNA from in vivo binding data.
Polishchuk M; Paz I; Kohen R; Mesika R; Yakhini Z; Mandel-Gutfreund Y
Methods; 2017 Apr; 118-119():73-81. PubMed ID: 28274760
[TBL] [Abstract][Full Text] [Related]
19. Integration of CLIP experiments of RNA-binding proteins: a novel approach to predict context-dependent splicing factors from transcriptomic data.
Carazo F; Gimeno M; Ferrer-Bonsoms JA; Rubio A
BMC Genomics; 2019 Jun; 20(1):521. PubMed ID: 31238884
[TBL] [Abstract][Full Text] [Related]
20. Identification of high-confidence RNA regulatory elements by combinatorial classification of RNA-protein binding sites.
Li YE; Xiao M; Shi B; Yang YT; Wang D; Wang F; Marcia M; Lu ZJ
Genome Biol; 2017 Sep; 18(1):169. PubMed ID: 28886744
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]