A Parallel Implementation of a Growing SOM Promoting Independent Neural Networks over Distributed Input Space. - John Hammond; Daniel MacLean; Iren Valova (IJCNN, 2006)

Parallel Growing SOM Monitored by Genetic Algorithm. - Daniel MacLean; Iren Valova (IJCNN, 2007)

Identification of Patterns via Region-Growing Parallel SOM Neural Network. - Iren Valova; Daniel MacLean; Derek Beaton (ICMLA, 2008)

A toolkit for analysing large-scale plant small RNA datasets. - Simon Moxon; Frank Schwach; Tamas Dalmay; Daniel MacLean; David J. Studholme; Vincent Moulton (Bioinform., 2008)

Growing mechanisms and cluster identification with TurSOM. - Derek Beaton; Iren Valova; Daniel MacLean (IJCNN, 2009)

TurSOM: A Turing inspired Self-Organizing Map. - Derek Beaton; Iren Valova; Daniel MacLean (IJCNN, 2009)

The Use of TurSOM for Color Image Segmentation. - Derek Beaton; Iren Valova; Daniel MacLean (SMC, 2009)

Finding sRNA generative locales from high-throughput sequencing data with NiBLS. - Daniel MacLean; Vincent Moulton; David J. Studholme (BMC Bioinform., 2010)

NIPSOM: Parallel Architecture and Implementation of a Growing SOM. - Iren Valova; Derek Beaton; Daniel MacLean; John Hammond (Comput. J., 2010)

CQoCO: A measure for comparative quality of coverage and organization for self-organizing maps. - Derek Beaton; Iren Valova; Daniel MacLean (Neurocomputing, 2010)

PhosPhAt: the Arabidopsis thaliana phosphorylation site database. An update. - Pawel Durek; Robert Schmidt; Joshua L. Heazlewood; Alexandra Jones; Daniel MacLean; Axel Nagel; Birgit Kersten; Waltraud X. Schulze (Nucleic Acids Res., 2010)

Fractal initialization for high-quality mapping with self-organizing maps. - Iren Valova; Derek Beaton; Alexandre Buer; Daniel MacLean (Neural Comput. Appl., 2010)

Gee Fu: a sequence version and web-services database tool for genomic assembly, genome feature and NGS data. - Ricardo Ramirez-Gonzalez; Mario Cáccamo; Daniel MacLean (Bioinform., 2011)

TurSOM: A paradigm bridging Turing's unorganized machines and self-organizing maps demonstrating dual self-organization. - Derek Beaton; Iren Valova; Daniel MacLean (Neurocomputing, 2011)

Biogem: an effective tool-based approach for scaling up open source software development in bioinformatics. - Raoul Jean Pierre Bonnal; Jan Aerts; George Githinji; Naohisa Goto; Daniel MacLean; Chase A. Miller; Hiroyuki Mishima; Massimiliano Pagani; Ricardo Ramirez-Gonzalez; Geert Smant; Francesco Strozzi; Rob Syme; et al. (Bioinform., 2012)

Bio-samtools: Ruby bindings for SAMtools, a library for accessing BAM files containing high-throughput sequence alignments. - Ricardo Ramirez-Gonzalez; Raoul Jean Pierre Bonnal; Mario Cáccamo; Daniel MacLean (Source Code Biol. Medicine, 2012)

SVGenes: a library for rendering genomic features in scalable vector graphic format. - Graham J. Etherington; Daniel MacLean (Bioinform., 2013)

The GOBLET training portal: a global repository of bioinformatics training materials, courses and trainers. - Manuel Corpas; Rafael C. Jiménez; Erik Bongcam-Rudloff; Aidan Budd; Michelle D. Brazas; Pedro L. Fernandes; Bruno A. Gaëta; Celia W. G. van Gelder; Eija Korpelainen; Fran Lewitter; Annette McGrath; Daniel MacLean; et al. (Bioinform., 2015)

bio-samtools 2: a package for analysis and visualization of sequence and alignment data with SAMtools in Ruby. - Graham J. Etherington; Ricardo H. Ramirez-Gonzalez; Dan MacLean (Bioinform., 2015)

Using 2k + 2 bubble searches to find single nucleotide polymorphisms in k-mer graphs. - Reda Younsi; Dan MacLean (Bioinform., 2015)

Rapid fine mapping of causative mutations from sets of unordered, contig-sized fragments of genome sequence. - Ghanasyam Rallapalli; Pilar Corredor-Moreno; Edward Chalstrey; Martin Page; Daniel MacLean (BMC Bioinform., 2019)

Accurate plant pathogen effector protein classification ab initio with deepredeff: an ensemble of convolutional neural networks. - Ruth Kristianingsih; Dan MacLean (BMC Bioinform., 2021)

Improved K-mer Based Prediction of Protein-Protein Interactions With Chaos Game Representation, Deep Learning and Reduced Representation Bias. - Ruth Veevers; Dan MacLean (CoRR, 2023)