| 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, 2019 | 1950 | 2019 |
| 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 | 1712 | 2018 |
| 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 | 1474 | 2022 |
| Bioconda: Sustainable and comprehensive software distribution for the life sciences R Dale, B Grüning, A Sjödin, J Rowe, BA Chapman, CH Tomkins-Tinch, ... Nature Methods 15 (7), 475-476, 2018 | 1234 | 2018 |
| The Human Tumor Atlas Network: charting tumor transitions across space and time at single-cell resolution O Rozenblatt-Rosen, A Regev, P Oberdoerffer, T Nawy, A Hupalowska, ... Cell 181 (2), 236-249, 2020 | 458 | 2020 |
| Intervene: a tool for intersection and visualization of multiple gene or genomic region sets A Khan, A Mathelier BMC bioinformatics 18, 1-8, 2017 | 456 | 2017 |
| dbSUPER: a database of super-enhancers in mouse and human genome A Khan, X Zhang Nucleic acids research 44 (D1), D164-D171, 2016 | 405 | 2016 |
| JASPAR 2024: 20th anniversary of the open-access database of transcription factor binding profiles I Rauluseviciute, R Riudavets-Puig, R Blanc-Mathieu, ... Nucleic Acids Research 52 (D1), D174-D182, 2024 | 264 | 2024 |
| Changing scientific meetings for the better S Sarabipour, A Khan, YFS Seah, AD Mwakilili, FN Mumoki, PJ Sáez, ... Nature Human Behaviour 5 (3), 296-300, 2021 | 163 | 2021 |
| Modeling RNA-binding protein specificity in vivo by precisely registering protein-RNA crosslink sites H Feng, S Bao, MA Rahman, SM Weyn-Vanhentenryck, A Khan, J Wong, ... Molecular cell 74 (6), 1189-1204. e6, 2019 | 107 | 2019 |
| A map of direct TF–DNA interactions in the human genome M Gheorghe, GK Sandve, A Khan, J Chèneby, B Ballester, A Mathelier Nucleic acids research 47 (4), e21-e21, 2019 | 94 | 2019 |
| 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 | 79 | 2019 |
| UniBind: maps of high-confidence direct TF-DNA interactions across nine species RR Puig, P Boddie, A Khan, JA Castro-Mondragon, A Mathelier BMC Genomics 22 (482), 2021 | 73 | 2021 |
| MITI Minimum Information guidelines for highly multiplexed tissue images D Schapiro, C Yapp, A Sokolov, SM Reynolds, YA Chen, D Sudar, Y Xie, ... Nature Methods 19 (3), 262-267, 2022 | 56 | 2022 |
| Super-enhancers are transcriptionally more active and cell type-specific than stretch enhancers A Khan, A Mathelier, X Zhang Epigenetics 13 (9), 910-922, 2018 | 56 | 2018 |
| Evaluating features of scientific conferences: A call for improvements S Sarabipour, B Schwessinger, FN Mumoki, AD Mwakilili, A Khan, ... BioRxiv, 2020.04. 02.022079, 2020 | 54 | 2020 |
| Molecular classification and biomarkers of clinical outcome in breast ductal carcinoma in situ: Analysis of TBCRC 038 and RAHBT cohorts SH Strand, B Rivero-Gutiérrez, KE Houlahan, JA Seoane, LM King, ... Cancer cell 40 (12), 1521-1536. e7, 2022 | 53* | 2022 |
| Deterministic evolution and stringent selection during preneoplasia K Karlsson, MJ Przybilla, E Kotler, A Khan, H Xu, K Karagyozova, ... Nature 618 (7964), 383-393, 2023 | 44* | 2023 |
| Adaptive watermark strength selection using particle swarm optimization M Ishtiaq, B Sikandar, MA Jaffar, A Khan ICIC Express Letters 4 (5), 1-6, 2010 | 44 | 2010 |
| Integrative modeling reveals key chromatin and sequence signatures predicting super-enhancers A Khan, X Zhang Scientific Reports 9 (1), 2877, 2019 | 21 | 2019 |
Anthony MathelierAssociate Director and Group Leader, Centre for Molecular Medicine Norway (NCMM)E-mailová adresa ověřena na: ncmm.uio.no
