171 related articles for article (PubMed ID: 27307637)
21. RNA-protein binding motifs mining with a new hybrid deep learning based cross-domain knowledge integration approach.
Pan X; Shen HB
BMC Bioinformatics; 2017 Feb; 18(1):136. PubMed ID: 28245811
[TBL] [Abstract][Full Text] [Related]
22. Automated band annotation for RNA structure probing experiments with numerous capillary electrophoresis profiles.
Lee S; Kim H; Tian S; Lee T; Yoon S; Das R
Bioinformatics; 2015 Sep; 31(17):2808-15. PubMed ID: 25943472
[TBL] [Abstract][Full Text] [Related]
23. BPP: a sequence-based algorithm for branch point prediction.
Zhang Q; Fan X; Wang Y; Sun MA; Shao J; Guo D
Bioinformatics; 2017 Oct; 33(20):3166-3172. PubMed ID: 28633445
[TBL] [Abstract][Full Text] [Related]
24. Murlet: a practical multiple alignment tool for structural RNA sequences.
Kiryu H; Tabei Y; Kin T; Asai K
Bioinformatics; 2007 Jul; 23(13):1588-98. PubMed ID: 17459961
[TBL] [Abstract][Full Text] [Related]
25. Fast genotyping of known SNPs through approximate k-mer matching.
Shajii A; Yorukoglu D; William Yu Y; Berger B
Bioinformatics; 2016 Sep; 32(17):i538-i544. PubMed ID: 27587672
[TBL] [Abstract][Full Text] [Related]
26. aPRBind: protein-RNA interface prediction by combining sequence and I-TASSER model-based structural features learned with convolutional neural networks.
Liu Y; Gong W; Zhao Y; Deng X; Zhang S; Li C
Bioinformatics; 2021 May; 37(7):937-942. PubMed ID: 32821925
[TBL] [Abstract][Full Text] [Related]
27. Macromolecular crowding: chemistry and physics meet biology (Ascona, Switzerland, 10-14 June 2012).
Foffi G; Pastore A; Piazza F; Temussi PA
Phys Biol; 2013 Aug; 10(4):040301. PubMed ID: 23912807
[TBL] [Abstract][Full Text] [Related]
28. SCRIBER: accurate and partner type-specific prediction of protein-binding residues from proteins sequences.
Zhang J; Kurgan L
Bioinformatics; 2019 Jul; 35(14):i343-i353. PubMed ID: 31510679
[TBL] [Abstract][Full Text] [Related]
29. HemeBIND: a novel method for heme binding residue prediction by combining structural and sequence information.
Liu R; Hu J
BMC Bioinformatics; 2011 May; 12():207. PubMed ID: 21612668
[TBL] [Abstract][Full Text] [Related]
30. RNABindRPlus: a predictor that combines machine learning and sequence homology-based methods to improve the reliability of predicted RNA-binding residues in proteins.
Walia RR; Xue LC; Wilkins K; El-Manzalawy Y; Dobbs D; Honavar V
PLoS One; 2014; 9(5):e97725. PubMed ID: 24846307
[TBL] [Abstract][Full Text] [Related]
31. ProbeRating: a recommender system to infer binding profiles for nucleic acid-binding proteins.
Yang S; Liu X; Ng RT
Bioinformatics; 2020 Sep; 36(18):4797-4804. PubMed ID: 32573679
[TBL] [Abstract][Full Text] [Related]
32. DeepSELEX: inferring DNA-binding preferences from HT-SELEX data using multi-class CNNs.
Asif M; Orenstein Y
Bioinformatics; 2020 Dec; 36(Suppl_2):i634-i642. PubMed ID: 33381817
[TBL] [Abstract][Full Text] [Related]
33. RBPmotif: a web server for the discovery of sequence and structure preferences of RNA-binding proteins.
Kazan H; Morris Q
Nucleic Acids Res; 2013 Jul; 41(Web Server issue):W180-6. PubMed ID: 23754853
[TBL] [Abstract][Full Text] [Related]
34. TopHat: discovering splice junctions with RNA-Seq.
Trapnell C; Pachter L; Salzberg SL
Bioinformatics; 2009 May; 25(9):1105-11. PubMed ID: 19289445
[TBL] [Abstract][Full Text] [Related]
35. Prediction of RNA-protein sequence and structure binding preferences using deep convolutional and recurrent neural networks.
Pan X; Rijnbeek P; Yan J; Shen HB
BMC Genomics; 2018 Jul; 19(1):511. PubMed ID: 29970003
[TBL] [Abstract][Full Text] [Related]
36. 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]
37. Predicting RNA-protein binding sites and motifs through combining local and global deep convolutional neural networks.
Pan X; Shen HB
Bioinformatics; 2018 Oct; 34(20):3427-3436. PubMed ID: 29722865
[TBL] [Abstract][Full Text] [Related]
38. Squeakr: an exact and approximate k-mer counting system.
Pandey P; Bender MA; Johnson R; Patro R; Berger B
Bioinformatics; 2018 Feb; 34(4):568-575. PubMed ID: 29444235
[TBL] [Abstract][Full Text] [Related]
39. CRNET: an efficient sampling approach to infer functional regulatory networks by integrating large-scale ChIP-seq and time-course RNA-seq data.
Chen X; Gu J; Wang X; Jung JG; Wang TL; Hilakivi-Clarke L; Clarke R; Xuan J
Bioinformatics; 2018 May; 34(10):1733-1740. PubMed ID: 29280996
[TBL] [Abstract][Full Text] [Related]
40. PST-PRNA: prediction of RNA-binding sites using protein surface topography and deep learning.
Li P; Liu ZP
Bioinformatics; 2022 Apr; 38(8):2162-2168. PubMed ID: 35150250
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]