Using probabilistic estimation of expression residuals (PEER) to obtain increased power and interpretability of gene expression analyses O Stegle, L Parts, M Piipari, J Winn, R Durbin Nature protocols 7 (3), 500-507, 2012 | 993 | 2012 |
An ENU-induced mutation of miR-96 associated with progressive hearing loss in mice MA Lewis, E Quint, AM Glazier, H Fuchs, MH De Angelis, C Langford, ... Nature genetics 41 (5), 614-618, 2009 | 376 | 2009 |
Dalliance: interactive genome viewing on the web TA Down, M Piipari, TJP Hubbard Bioinformatics 27 (6), 889-890, 2011 | 110 | 2011 |
The two most common histological subtypes of malignant germ cell tumour are distinguished by global microRNA profiles, associated with differential transcription factor expression MJ Murray, HK Saini, S van Dongen, RD Palmer, B Muralidhar, MR Pett, ... Molecular cancer 9, 1-14, 2010 | 76 | 2010 |
Using probabilistic estimation of 682 expression residuals (PEER) to obtain increased power and interpretability of gene 683 expression analyses O Stegle, L Parts, M Piipari, J Winn, R Durbin Nat. Protoc 7 (500-507), 684, 2012 | 14 | 2012 |
iMotifs: an integrated sequence motif visualization and analysis environment M Piipari, TA Down, H Saini, A Enright, TJP Hubbard Bioinformatics 26 (6), 843-844, 2010 | 12 | 2010 |
Metamotifs-a generative model for building families of nucleotide position weight matrices M Piipari, TA Down, TJP Hubbard BMC bioinformatics 11, 1-16, 2010 | 11 | 2010 |
Inference and classification of eukaryotic cis-regulatory motifs M Piipari University of Cambridge, 2011 | 2 | 2011 |
Large-Scale Gene Regulatory Motif Discovery with NestedMICA M Piipari, TA Down, TJP Hubbard Advances In Genomic Sequence Analysis And Pattern Discovery, 3-24, 2011 | 2 | 2011 |