CNN-MGP: Convolutional Neural Networks for Metagenomics Gene Prediction

Recognition of prokaryotic and eukaryotic promoters using convolutional deep learning neural networks

(2017) Ramzan Kh. Umarov et al.   PLoS One

Convolutional neural network architectures for predicting DNA–protein binding

(2016) Haoyang Zeng et al.   BIOINFORMATICS

Basset: learning the regulatory code of the accessible genome with deep convolutional neural networks

(2016) David R. Kelley et al.   GENOME RESEARCH

Deep learning for computational biology

(2016) Christof Angermueller et al.   Molecular Systems Biology

DanQ: a hybrid convolutional and recurrent deep neural network for quantifying the function of DNA sequences

(2016) Daniel Quang et al.   NUCLEIC ACIDS RESEARCH

Deep learning

(2015) Yann LeCun et al.   NATURE

Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning

(2015) Babak Alipanahi et al.   NATURE BIOTECHNOLOGY

Predicting effects of noncoding variants with deep learning–based sequence model

(2015) Jian Zhou et al.   NATURE METHODS

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

An introduction to the analysis of shotgun metagenomic data

(2014) Thomas J. Sharpton   Frontiers in Plant Science

Gene prediction in metagenomic fragments based on the SVM algorithm

(2013) Yongchu Liu et al.   BMC BIOINFORMATICS

High throughput sequencing methods and analysis for microbiome research

(2013) Julia M. Di Bella et al.   JOURNAL OF MICROBIOLOGICAL METHODS

GenBank

(2012) Dennis A. Benson et al.   NUCLEIC ACIDS RESEARCH

Prodigal: prokaryotic gene recognition and translation initiation site identification

(2010) Doug Hyatt et al.   BMC BIOINFORMATICS

Deep Machine Learning - A New Frontier in Artificial Intelligence Research [Research Frontier]

(2010) I Arel et al.   IEEE Computational Intelligence Magazine

A Primer on Metagenomics

(2010) John C. Wooley et al.   PLoS Computational Biology

Gene prediction in metagenomic fragments: A large scale machine learning approach

(2009) Katharina J Hoff et al.   BMC BIOINFORMATICS

The Genome Reverse Compiler: an explorative annotation tool

(2009) Andrew S Warren et al.   BMC BIOINFORMATICS

Orphelia: predicting genes in metagenomic sequencing reads

(2009) Katharina J. Hoff et al.   NUCLEIC ACIDS RESEARCH