209 related articles for article (PubMed ID: 34606413)
41. NoFold: RNA structure clustering without folding or alignment.
Middleton SA; Kim J
RNA; 2014 Nov; 20(11):1671-83. PubMed ID: 25234928
[TBL] [Abstract][Full Text] [Related]
42. Computational identification of protein binding sites on RNAs using high-throughput RNA structure-probing data.
Hu X; Wong TK; Lu ZJ; Chan TF; Lau TC; Yiu SM; Yip KY
Bioinformatics; 2014 Apr; 30(8):1049-1055. PubMed ID: 24376038
[TBL] [Abstract][Full Text] [Related]
43. Finding the target sites of RNA-binding proteins.
Li X; Kazan H; Lipshitz HD; Morris QD
Wiley Interdiscip Rev RNA; 2014; 5(1):111-30. PubMed ID: 24217996
[TBL] [Abstract][Full Text] [Related]
44. Computational Prediction of RNA-Binding Proteins and Binding Sites.
Si J; Cui J; Cheng J; Wu R
Int J Mol Sci; 2015 Nov; 16(11):26303-17. PubMed ID: 26540053
[TBL] [Abstract][Full Text] [Related]
45. RNA structure drives interaction with proteins.
Sanchez de Groot N; Armaos A; Graña-Montes R; Alriquet M; Calloni G; Vabulas RM; Tartaglia GG
Nat Commun; 2019 Jul; 10(1):3246. PubMed ID: 31324771
[TBL] [Abstract][Full Text] [Related]
46. RBPmap: A Tool for Mapping and Predicting the Binding Sites of RNA-Binding Proteins Considering the Motif Environment.
Paz I; Argoetti A; Cohen N; Even N; Mandel-Gutfreund Y
Methods Mol Biol; 2022; 2404():53-65. PubMed ID: 34694603
[TBL] [Abstract][Full Text] [Related]
47. Sensitive and highly resolved identification of RNA-protein interaction sites in PAR-CLIP data.
Comoglio F; Sievers C; Paro R
BMC Bioinformatics; 2015 Feb; 16():32. PubMed ID: 25638391
[TBL] [Abstract][Full Text] [Related]
48. Toward predictive R-loop computational biology: genome-scale prediction of R-loops reveals their association with complex promoter structures, G-quadruplexes and transcriptionally active enhancers.
Kuznetsov VA; Bondarenko V; Wongsurawat T; Yenamandra SP; Jenjaroenpun P
Nucleic Acids Res; 2018 Sep; 46(15):7566-7585. PubMed ID: 29945198
[TBL] [Abstract][Full Text] [Related]
49. 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]
50. Using RNA secondary structures to guide sequence motif finding towards single-stranded regions.
Hiller M; Pudimat R; Busch A; Backofen R
Nucleic Acids Res; 2006; 34(17):e117. PubMed ID: 16987907
[TBL] [Abstract][Full Text] [Related]
51. Protein-RNA interaction prediction with deep learning: structure matters.
Wei J; Chen S; Zong L; Gao X; Li Y
Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34929730
[TBL] [Abstract][Full Text] [Related]
52. Predicting dynamic cellular protein-RNA interactions by deep learning using in vivo RNA structures.
Sun L; Xu K; Huang W; Yang YT; Li P; Tang L; Xiong T; Zhang QC
Cell Res; 2021 May; 31(5):495-516. PubMed ID: 33623109
[TBL] [Abstract][Full Text] [Related]
53. RBPmap: a web server for mapping binding sites of RNA-binding proteins.
Paz I; Kosti I; Ares M; Cline M; Mandel-Gutfreund Y
Nucleic Acids Res; 2014 Jul; 42(Web Server issue):W361-7. PubMed ID: 24829458
[TBL] [Abstract][Full Text] [Related]
54. 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]
55. 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]
56. Measuring RNA structure transcriptome-wide with icSHAPE.
Chan D; Feng C; Spitale RC
Methods; 2017 May; 120():85-90. PubMed ID: 28336307
[TBL] [Abstract][Full Text] [Related]
57. Motif models for RNA-binding proteins.
Sasse A; Laverty KU; Hughes TR; Morris QD
Curr Opin Struct Biol; 2018 Dec; 53():115-123. PubMed ID: 30172081
[TBL] [Abstract][Full Text] [Related]
58. PAR-CLIP: A Method for Transcriptome-Wide Identification of RNA Binding Protein Interaction Sites.
Danan C; Manickavel S; Hafner M
Methods Mol Biol; 2022; 2404():167-188. PubMed ID: 34694609
[TBL] [Abstract][Full Text] [Related]
59. CircInteractome: A web tool for exploring circular RNAs and their interacting proteins and microRNAs.
Dudekula DB; Panda AC; Grammatikakis I; De S; Abdelmohsen K; Gorospe M
RNA Biol; 2016; 13(1):34-42. PubMed ID: 26669964
[TBL] [Abstract][Full Text] [Related]
60. Predicting sequence and structural specificities of RNA binding regions recognized by splicing factor SRSF1.
Wang X; Juan L; Lv J; Wang K; Sanford JR; Liu Y
BMC Genomics; 2011 Dec; 12 Suppl 5(Suppl 5):S8. PubMed ID: 22369183
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
