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Shusen Liu et al.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS (2017)
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Nian Liu et al.
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Mengqi Chang et al.
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Pengwei Xing et al.
SCIENTIFIC REPORTS (2017)
Distinct 5-methylcytosine profiles in poly(A) RNA from mouse embryonic stem cells and brain
Thomas Amort et al.
GENOME BIOLOGY (2017)
RMBase: a resource for decoding the landscape of RNA modifications from high-throughput sequencing data
Wen-Ju Sun et al.
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pRNAm-PC: Predicting N6-methyladenosine sites in RNA sequences via physical-chemical properties
Zi Liu et al.
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Wen Xiao et al.
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Huiqing Zhou et al.
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DanQ: a hybrid convolutional and recurrent deep neural network for quantifying the function of DNA sequences
Daniel Quang et al.
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SRAMP: prediction of mammalian N6-methyladenosine (m6A) sites based on sequence-derived features
Yuan Zhou et al.
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RNAMethPre: A Web Server for the Prediction and Query of mRNA m6A Sites
Shunian Xiang et al.
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Ian A. Roundtree et al.
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m1A and m1G disrupt A-RNA structure through the intrinsic instability of Hoogsteen base pairs
Huiqing Zhou et al.
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Wei Chen et al.
ANALYTICAL BIOCHEMISTRY (2015)
A Deep Learning Network Approach to ab initio Protein Secondary Structure Prediction
Matt Spencer et al.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2015)
Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning
Babak Alipanahi et al.
NATURE BIOTECHNOLOGY (2015)
Predicting effects of noncoding variants with deep learning-based sequence model
Jian Zhou et al.
NATURE METHODS (2015)
Single-nucleotide-resolution mapping of m6A and m6Am throughout the transcriptome
Bastian Linder et al.
NATURE METHODS (2015)
Continuous Distributed Representation of Biological Sequences for Deep Proteomics and Genomics
Ehsaneddin Asgari et al.
PLOS ONE (2015)
DNdisorder: predicting protein disorder using boosting and deep networks
Jesse Eickholt et al.
BMC BIOINFORMATICS (2013)
Predicting protein residue-residue contacts using deep networks and boosting
Jesse Eickholt et al.
BIOINFORMATICS (2012)
Comprehensive Analysis of mRNA Methylation Reveals Enrichment in 3′ UTRs and near Stop Codons
Kate D. Meyer et al.
CELL (2012)
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Dan Dominissini et al.
NATURE (2012)
MEME-ChIP: motif analysis of large DNA datasets
Philip Machanick et al.
BIOINFORMATICS (2011)
Quantifying similarity between motifs
Shobhit Gupta et al.
GENOME BIOLOGY (2007)
The human genome browser at UCSC
WJ Kent et al.
GENOME RESEARCH (2002)