MEME Suite: tools for motif discovery and searching TL Bailey, M Boden, FA Buske, M Frith, CE Grant, L Clementi, J Ren, ... Nucleic acids research 37 (suppl_2), W202-W208, 2009 | 9762 | 2009 |
FIMO: scanning for occurrences of a given motif CE Grant, TL Bailey, WS Noble Bioinformatics 27 (7), 1017-1018, 2011 | 4034 | 2011 |
The MEME suite TL Bailey, J Johnson, CE Grant, WS Noble Nucleic acids research 43 (W1), W39-W49, 2015 | 3311 | 2015 |
The Genome of the Natural Genetic Engineer Agrobacterium tumefaciens C58 DW Wood, JC Setubal, R Kaul, DE Monks, JP Kitajima, VK Okura, Y Zhou, ... science 294 (5550), 2317-2323, 2001 | 992 | 2001 |
A critical assessment of Mus musculusgene function prediction using integrated genomic evidence L Peña-Castillo, M Tasan, CL Myers, H Lee, T Joshi, C Zhang, Y Guan, ... Genome biology 9, 1-19, 2008 | 298 | 2008 |
Crux: rapid open source protein tandem mass spectrometry analysis S McIlwain, K Tamura, A Kertesz-Farkas, CE Grant, B Diament, B Frewen, ... Journal of proteome research 13 (10), 4488-4491, 2014 | 155 | 2014 |
MoMo: discovery of statistically significant post-translational modification motifs A Cheng, CE Grant, WS Noble, TL Bailey Bioinformatics 35 (16), 2774-2782, 2019 | 146 | 2019 |
Widely distributed noncoding purifying selection in the human genome S Asthana, WS Noble, G Kryukov, CE Grant, S Sunyaev, ... Proceedings of the National Academy of Sciences 104 (30), 12410-12415, 2007 | 127 | 2007 |
Consistent probabilistic outputs for protein function prediction G Obozinski, G Lanckriet, C Grant, MI Jordan, WS Noble Genome Biology 9, 1-19, 2008 | 122 | 2008 |
SEA: simple enrichment analysis of motifs TL Bailey, CE Grant BioRxiv, 2021.08. 23.457422, 2021 | 96 | 2021 |
XSTREME: Comprehensive motif analysis of biological sequence datasets CE Grant, TL Bailey BioRxiv, 2021.09. 02.458722, 2021 | 86 | 2021 |
Improved similarity scores for comparing motifs E Tanaka, T Bailey, CE Grant, WS Noble, U Keich Bioinformatics 27 (12), 1603-1609, 2011 | 64 | 2011 |
Assessing phylogenetic motif models for predicting transcription factor binding sites J Hawkins, C Grant, WS Noble, TL Bailey Bioinformatics 25 (12), i339-i347, 2009 | 31 | 2009 |
T-Gene: improved target gene prediction T O’Connor, CE Grant, M Bodén, TL Bailey Bioinformatics 36 (12), 3902-3904, 2020 | 20 | 2020 |
MCAST: scanning for cis-regulatory motif clusters CE Grant, J Johnson, TL Bailey, WS Noble Bioinformatics 32 (8), 1217-1219, 2016 | 16 | 2016 |
The Crux toolkit for analysis of bottom-up tandem mass spectrometry proteomics data A Kertesz-Farkas, FL Nii Adoquaye Acquaye, K Bhimani, JK Eng, ... Journal of proteome research 22 (2), 561-569, 2023 | 6 | 2023 |
MoMo: Discovery of post-translational modification motifs A Cheng, CE Grant, TL Bailey, WS Noble BioRxiv, 153882, 2017 | 5 | 2017 |
A critical assessment of Mus musculus gene function prediction using integrated genomic evidence. CL Pena, M Tasan, C Grant, Z Barutcuoglu, DP Hill, FD Warde, C Grouios, ... | 1 | 2008 |
Developing an E-Platform for Monitoring Wellbeing in Schools: Involving Young People in Setting the Research Agenda. CE Grant, E Widnall, L Cross, E Simonoff, J Downs | | 2020 |
Transcription factor motif discovery and prediction in an expanded epigenetic alphabet C Viner, J Johnson, CE Grant, TL Bailey, WS Noble, MM Hoffman Genome 57 (7), 378-379, 2014 | | 2014 |