RBPsuite: RNA-protein binding sites prediction suite based on deep learning
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
RBPsuite: RNA-protein binding sites prediction suite based on deep learning
Authors
Keywords
-
Journal
BMC GENOMICS
Volume 21, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2020-12-09
DOI
10.1186/s12864-020-07291-6
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Recent methodology progress of deep learning for RNA–protein interaction prediction
- (2019) Xiaoyong Pan et al. Wiley Interdisciplinary Reviews-RNA
- CRIP: predicting circRNA-RBP interaction sites using a codon-based encoding and hybrid deep neural networks
- (2019) Kaiming Zhang et al. RNA
- pysster: classification of biological sequences by learning sequence and structure motifs with convolutional neural networks
- (2018) Stefan Budach et al. BIOINFORMATICS
- Predicting RNA–protein binding sites and motifs through combining local and global deep convolutional neural networks
- (2018) Xiaoyong Pan et al. BIOINFORMATICS
- Prediction of RNA-protein sequence and structure binding preferences using deep convolutional and recurrent neural networks
- (2018) Xiaoyong Pan et al. BMC GENOMICS
- beRBP: binding estimation for human RNA-binding proteins
- (2018) Hui Yu et al. NUCLEIC ACIDS RESEARCH
- Identifying RNA-binding proteins using multi-label deep learning
- (2018) Xiaoyong Pan et al. Science China-Information Sciences
- A combined sequence and structure based method for discovering enriched motifs in RNA from in vivo binding data
- (2017) Maya Polishchuk et al. METHODS
- Orthogonal matrix factorization enables integrative analysis of multiple RNA binding proteins
- (2016) Martin Stražar et al. BIOINFORMATICS
- Robust transcriptome-wide discovery of RNA-binding protein binding sites with enhanced CLIP (eCLIP)
- (2016) Eric L Van Nostrand et al. NATURE METHODS
- Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning
- (2015) Babak Alipanahi et al. NATURE BIOTECHNOLOGY
- The MEME Suite
- (2015) Timothy L. Bailey et al. NUCLEIC ACIDS RESEARCH
- Determination and Inference of Eukaryotic Transcription Factor Sequence Specificity
- (2014) Matthew T. Weirauch et al. CELL
- A census of human RNA-binding proteins
- (2014) Stefanie Gerstberger et al. NATURE REVIEWS GENETICS
- GraphProt: modeling binding preferences of RNA-binding proteins
- (2014) Daniel Maticzka et al. GENOME BIOLOGY
- A compendium of RNA-binding motifs for decoding gene regulation
- (2013) Debashish Ray et al. NATURE
- FIMO: scanning for occurrences of a given motif
- (2011) Charles E. Grant et al. BIOINFORMATICS
- RNA-binding proteins in neurodegenerative disease: TDP-43 and beyond
- (2011) Keith A. Hanson et al. Wiley Interdisciplinary Reviews-RNA
- BEDTools: a flexible suite of utilities for comparing genomic features
- (2010) Aaron R. Quinlan et al. BIOINFORMATICS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started