SANPolyA: a deep learning method for identifying Poly(A) signals

i6mA-Pred: Identifying DNA N6-methyladenine sites in the rice genome

(2019) Wei Chen et al.   BIOINFORMATICS

DeepPASTA: deep neural network based polyadenylation site analysis

(2019) Ashraful Arefeen et al.   BIOINFORMATICS

Hybrid model for efficient prediction of poly(A) signals in human genomic DNA

(2019) Fahad Albalawi et al.   METHODS

Inference of the human polyadenylation code

(2018) Michael K K Leung et al.   BIOINFORMATICS

DeepGSR: an optimized deep-learning structure for the recognition of genomic signals and regions

(2018) Manal Kalkatawi et al.   BIOINFORMATICS

DeeReCT-PolyA: a robust and generic deep learning method for PAS identification

(2018) Zhihao Xia et al.   BIOINFORMATICS

PolyA_DB 3 catalogs cleavage and polyadenylation sites identified by deep sequencing in multiple genomes

(2017) Ruijia Wang et al.   NUCLEIC ACIDS RESEARCH

Poly(A) motif prediction using spectral latent features from human DNA sequences

(2013) Bo Xie et al.   BIOINFORMATICS

CD-HIT: accelerated for clustering the next-generation sequencing data

(2012) Limin Fu et al.   BIOINFORMATICS

GENCODE: The reference human genome annotation for The ENCODE Project

(2012) J. Harrow et al.   GENOME RESEARCH

An in-depth map of polyadenylation sites in cancer

(2012) Yuefeng Lin et al.   NUCLEIC ACIDS RESEARCH

Dragon PolyA Spotter: predictor of poly(A) motifs within human genomic DNA sequences

(2011) Manal Kalkatawi et al.   BIOINFORMATICS

Ending the message: poly(A) signals then and now

(2011) N. J. Proudfoot   GENES & DEVELOPMENT

POLYAR, a new computer program for prediction of poly(A) sites in human sequences

(2010) Malik Akhtar et al.   BMC GENOMICS

Arabidopsis mRNA polyadenylation machinery: comprehensive analysis of protein-protein interactions and gene expression profiling

(2008) Arthur G Hunt et al.   BMC GENOMICS

Genome level analysis of rice mRNA 3′-end processing signals and alternative polyadenylation

(2008) Yingjia Shen et al.   NUCLEIC ACIDS RESEARCH