JASPAR 2020: update of the open-access database of transcription factor binding profiles O Fornes, JA Castro-Mondragon, A Khan, R Van der Lee, X Zhang, ... Nucleic acids research 48 (D1), D87-D92, 2020 | 1774 | 2020 |
A promoter-level mammalian expression atlas Nature 507 (7493), 462-470, 2014 | 1731 | 2014 |
JASPAR 2018: update of the open-access database of transcription factor binding profiles and its web framework A Khan, O Fornes, A Stigliani, M Gheorghe, JA Castro-Mondragon, ... Nucleic acids research 46 (D1), D260-D266, 2018 | 1639 | 2018 |
JASPAR 2014: an extensively expanded and updated open-access database of transcription factor binding profiles A Mathelier, X Zhao, AW Zhang, F Parcy, R Worsley-Hunt, DJ Arenillas, ... Nucleic acids research 42 (D1), D142-D147, 2014 | 1169 | 2014 |
JASPAR 2022: the 9th release of the open-access database of transcription factor binding profiles JA Castro-Mondragon, R Riudavets-Puig, I Rauluseviciute, ... Nucleic acids research 50 (D1), D165-D173, 2022 | 1155 | 2022 |
JASPAR 2016: a major expansion and update of the open-access database of transcription factor binding profiles A Mathelier, O Fornes, DJ Arenillas, C Chen, G Denay, J Lee, W Shi, ... Nucleic acids research 44 (D1), D110-D115, 2016 | 1115 | 2016 |
An integrated expression atlas of miRNAs and their promoters in human and mouse D De Rie, I Abugessaisa, T Alam, E Arner, P Arner, H Ashoor, G Åström, ... Nature biotechnology 35 (9), 872-878, 2017 | 568 | 2017 |
Intervene: a tool for intersection and visualization of multiple gene or genomic region sets A Khan, A Mathelier BMC bioinformatics 18, 1-8, 2017 | 412 | 2017 |
MirGeneDB 2.0: the metazoan microRNA complement B Fromm, D Domanska, E Høye, V Ovchinnikov, W Kang, ... Nucleic Acids Research 48 (D1), D132-D141, 2020 | 249 | 2020 |
The next generation of transcription factor binding site prediction A Mathelier, WW Wasserman PLoS computational biology 9 (9), e1003214, 2013 | 237 | 2013 |
ReMap 2018: an updated atlas of regulatory regions from an integrative analysis of DNA-binding ChIP-seq experiments J Chèneby, M Gheorghe, M Artufel, A Mathelier, B Ballester Nucleic acids research 46 (D1), D267-D275, 2018 | 228 | 2018 |
MIReNA: finding microRNAs with high accuracy and no learning at genome scale and from deep sequencing data A Mathelier, A Carbone Bioinformatics 26 (18), 2226-2234, 2010 | 184 | 2010 |
DNA shape features improve transcription factor binding site predictions in vivo A Mathelier, B Xin, TP Chiu, L Yang, R Rohs, WW Wasserman Cell systems 3 (3), 278-286. e4, 2016 | 160 | 2016 |
TFBSshape: a motif database for DNA shape features of transcription factor binding sites L Yang, T Zhou, I Dror, A Mathelier, WW Wasserman, R Gordân, R Rohs Nucleic acids research 42 (D1), D148-D155, 2014 | 139 | 2014 |
Identification of altered cis-regulatory elements in human disease A Mathelier, W Shi, WW Wasserman Trends in Genetics 31 (2), 67-76, 2015 | 126 | 2015 |
DNA methylation at enhancers identifies distinct breast cancer lineages T Fleischer, X Tekpli, A Mathelier, S Wang, D Nebdal, HP Dhakal, ... Nature Communications 8 (1), 1379, 2017 | 117 | 2017 |
Update of the FANTOM web resource: high resolution transcriptome of diverse cell types in mammals M Lizio, J Harshbarger, I Abugessaisa, S Noguchi, A Kondo, J Severin, ... Nucleic acids research, gkw995, 2016 | 108 | 2016 |
A map of direct TF-DNA interactions in the human genome M Gheorghe, GK Sandve, A Khan, J Cheneby, B Ballester, A Mathelier Nucleic Acids Research, gky1210, 2018 | 89 | 2018 |
Characterization of the human RFX transcription factor family by regulatory and target gene analysis D Sugiaman-Trapman, M Vitezic, EM Jouhilahti, A Mathelier, G Lauter, ... BMC genomics 19, 1-15, 2018 | 75 | 2018 |
High OGT activity is essential for MYC-driven proliferation of prostate cancer cells HM Itkonen, A Urbanucci, SES Martin, A Khan, A Mathelier, B Thiede, ... Theranostics 9 (8), 2183, 2019 | 70 | 2019 |