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deepTools2: a next generation web server for deep-sequencing data analysis
Open accessAbstract
We present an update to our Galaxy-based web server for processing and visualizing deeply sequenced data. Its core tool set, deepTools, allows users to perform complete bioinformatic workflows ranging from quality controls and normalizations of aligned reads to integrative analyses, including clustering and visualization approaches. Since we first described our deepTools Galaxy server in 2014, we have implemented new solutions for many requests from the community and our users. Here, we introduce significant enhancements and new tools to further improve data visualization and interpretation. deepTools continue to be open to all users and freely available as a web service at deeptools.ie-freiburg.mpg.de The new deepTools2 suite can be easily deployed within any Galaxy framework via the toolshed repository, and we also provide source code for command line usage under Linux and Mac OS X. A public and documented API for access to deepTools functionality is also available.
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“Bigwigs were generated with the bamCoverage function from deepTools (82) with scaling factors calculated using the formula (human reads in input) / (mouse reads in input) / (human reads in ChIP) x 15000000 (83, 84).”
From Synergy between regulatory elements can render cohesin dispensable for distal enhancer function (2026) · cites this paper as [82]
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“For genome-wide profiles and peak overlaps, peaks were filtered for a minimum signal of 1000 and then generated using the plotProfile function in deepTools2 (82) centered on peaks called from control (DMSO) cells and separated by replicate.”
From Synergy between regulatory elements can render cohesin dispensable for distal enhancer function (2026) · cites this paper as [82]
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The Sequence Alignment/Map format and SAMtools
Li, H., Handsaker, B., Wysoker, A., Fennell, T., Ruan, J., Homer, N., Marth, G., Abecasis, G., Durbin, R., & 1000 Genome Project Data Processing Subgroup (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp352 · Cited by 62,041
Integrative analysis of 111 reference human epigenomes
Roadmap Epigenomics Consortium, Kundaje, A., Meuleman, W., Ernst, J., Bilenky, M., Yen, A., Heravi-Moussavi, A., Kheradpour, P., Zhang, Z., Wang, J., et al. (2015) · Nature · doi:10.1038/nature14248 · Cited by 6,368
Research works printed but not linked: 16
- 10.1111/cgf.12096 · DOI
- 10.1093/bioinformatics/btu775 · DOI
- 10.1016/j.molcel.2010.05.004 · DOI · Paper page
- 10.1186/1471-2164-15-284 · DOI
- Ramírez F. Dündar F. Diehl S. Grüning B.A. Manke T. deepTools: a flexible platform for exploring deep-sequencing data. 2014;42:W187-W191. · DOI · Paper page
- Hillman-Jackson J. Clements D. Blankenberg D. Taylor J. Nekrutenko A.Galaxy Team . Using Galaxy to perform large-scale interactive data analyses. Curr. Protoc. Bioinformatics 2012. Chapter 10, Unit 10.5–10.5.47. · DOI
- 10.1093/nar/gkv1275 · DOI
- 10.1038/nprot.2012.101 · DOI
- 10.1101/gr.136184.111 · DOI · Paper page
- 10.1186/gb4161 · DOI
- 10.1038/nature11247 · DOI · Paper page
- 10.1016/j.cell.2015.04.044 · DOI · Paper page
- 10.1101/gad.201327.112 · DOI · Paper page
- 10.1038/nmeth.1985 · DOI
- 10.1016/j.molcel.2015.08.024 · DOI
- 10.1016/j.molcel.2013.12.029 · DOI
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Hansen, A. S., Pustova, I., Cattoglio, C., Tjian, R., & Darzacq, X. (2017) · eLife · doi:10.7554/elife.25776 · Cited by 613
Kobayashi, Y., Tata, A., Konkimalla, A., Katsura, H., Lee, R. F., Ou, J., Banovich, N. E., Kropski, J. A., & Tata, P. R. (2020) · Nature Cell Biology · doi:10.1038/s41556-020-0542-8 · Cited by 559
Kurppa, K. J., Liu, Y., To, C., Zhang, T., Fan, M., Vajdi, A., Knelson, E. H., Xie, Y., Lim, K., Cejas, P., et al. (2020) · Cancer Cell · doi:10.1016/j.ccell.2019.12.006 · Cited by 475
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Preissl, S., Fang, R., Huang, H., Zhao, Y., Raviram, R., Gorkin, D. U., Zhang, Y., Sos, B. C., Afzal, V., Dickel, D. E., et al. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0079-3 · Cited by 332
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Singh, N., Lee, Y. G., Shestova, O., Ravikumar, P., Hayer, K. E., Hong, S. J., Lu, X. M., Pajarillo, R., Agarwal, S., Kuramitsu, S., et al. (2020) · Cancer Discovery · doi:10.1158/2159-8290.cd-19-0813 · Cited by 295
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Wang, X., Prager, B. C., Wu, Q., Kim, L. J. Y., Gimple, R. C., Shi, Y., Yang, K., Morton, A. R., Zhou, W., Zhu, Z., et al. (2018) · Cell Stem Cell · doi:10.1016/j.stem.2018.03.011 · Cited by 285
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Zhang, S.-M., Cai, W. L., Liu, X., Thakral, D., Luo, J., Chan, L. H., McGeary, M. K., Song, E., Blenman, K. R. M., Micevic, G., et al. (2021) · Nature · doi:10.1038/s41586-021-03994-2 · Cited by 272
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Sabbagh, M. F., Heng, J. S., Luo, C., Castanon, R. G., Nery, J. R., Rattner, A., Goff, L. A., Ecker, J. R., & Nathans, J. (2018) · eLife · doi:10.7554/elife.36187 · Cited by 245
Cameron, A. M., Castoldi, A., Sanin, D. E., Flachsmann, L. J., Field, C. S., Puleston, D. J., Kyle, R. L., Patterson, A. E., Hässler, F., Buescher, J. M., et al. (2019) · Nature Immunology · doi:10.1038/s41590-019-0336-y · Cited by 269
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Sun, J. H., Zhou, L., Emerson, D. J., Phyo, S. A., Titus, K. R., Gong, W., Gilgenast, T. G., Beagan, J. A., Davidson, B. L., Tassone, F., et al. (2018) · Cell · doi:10.1016/j.cell.2018.08.005 · Cited by 249
“…matrix balancing Imakaev et al., 2012 https://github.com/hiclib/iced MEME Suite Bailey et al., 2009 http://meme-suite.org Quantile normalization Bolstad et al., 2003 https://www.ncbi.nlm.nih.gov/pubmed/ 12538238 deepTools Ramı́rez et al., 2016 https://github.com/deeptools/deepTools”
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Alam, H., Tang, M., Maitituoheti, M., Dhar, S. S., Kumar, M., Han, C. Y., Ambati, C. R., Amin, S. B., Gu, B., Chen, T.-Y., et al. (2020) · Cancer Cell · doi:10.1016/j.ccell.2020.03.005 · Cited by 243
Tchieu, J., Calder, E. L., Guttikonda, S. R., Gutzwiller, E. M., Aromolaran, K. A., Steinbeck, J. A., Goldstein, P. A., & Studer, L. (2019) · Nature Biotechnology · doi:10.1038/s41587-019-0035-0 · Cited by 231
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Wu, W., Kargbo-Hill, S. E., Nathan, W. J., Paiano, J., Callen, E., Wang, D., Shinoda, K., van Wietmarschen, N., Colón-Mercado, J. M., Zong, D., et al. (2021) · Nature · doi:10.1038/s41586-021-03468-5 · Cited by 223
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Petti, A. A., Williams, S. R., Miller, C. A., Fiddes, I. T., Srivatsan, S. N., Chen, D. Y., Fronick, C. C., Fulton, R. S., Church, D. M., & Ley, T. J. (2019) · Nature Communications · doi:10.1038/s41467-019-11591-1 · Cited by 215
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Pozniak, J., Pedri, D., Landeloos, E., Van Herck, Y., Antoranz, A., Vanwynsberghe, L., Nowosad, A., Roda, N., Makhzami, S., Bervoets, G., et al. (2024) · Cell · doi:10.1016/j.cell.2023.11.037 · Cited by 199
Peneder, P., Stütz, A. M., Surdez, D., Krumbholz, M., Semper, S., Chicard, M., Sheffield, N. C., Pierron, G., Lapouble, E., Tötzl, M., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-23445-w · Cited by 200
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Lu, T., Ang, C. E., & Zhuang, X. (2022) · Cell · doi:10.1016/j.cell.2022.09.035 · Cited by 197
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Reimer, K. A., Mimoso, C. A., Adelman, K., & Neugebauer, K. M. (2021) · Molecular Cell · doi:10.1016/j.molcel.2020.12.018 · Cited by 180
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DeVorkin, L., Pavey, N., Carleton, G., Comber, A., Ho, C., Lim, J., McNamara, E., Huang, H., Kim, P., Zacharias, L. G., et al. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.03.037 · Cited by 185
Traxler, L., Herdy, J. R., Stefanoni, D., Eichhorner, S., Pelucchi, S., Szücs, A., Santagostino, A., Kim, Y., Agarwal, R. K., Schlachetzki, J. C. M., et al. (2022) · Cell Metabolism · doi:10.1016/j.cmet.2022.07.014 · Cited by 179
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Dai, D., Gu, S., Han, X., Ding, H., Jiang, Y., Zhang, X., Yao, C., Hong, S., Zhang, J., Shen, Y., et al. (2024) · Science · doi:10.1126/science.adf8531 · Cited by 178
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Han, M., Li, F., Zhang, Y., Dai, P., He, J., Li, Y., Zhu, Y., Zheng, J., Huang, H., Bai, F., et al. (2022) · Cancer Cell · doi:10.1016/j.ccell.2022.10.011 · Cited by 166
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Li, Y. E., Preissl, S., Miller, M., Johnson, N. D., Wang, Z., Jiao, H., Zhu, C., Wang, Z., Xie, Y., Poirion, O., et al. (2023) · Science · doi:10.1126/science.adf7044 · Cited by 173
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Janssens, J., Aibar, S., Taskiran, I. I., Ismail, J. N., Spanier, K. I., Bravo González-Blas, C., Quan, X. J., Papasokrati, D., Hulselmans, G., Makhzami, S., et al. (2021) · doi:10.1101/2021.08.11.454937 · Cited by 170
Lio, C.-W., Zhang, J., González-Avalos, E., Hogan, P. G., Chang, X., & Rao, A. (2016) · eLife · doi:10.7554/elife.18290 · Cited by 170
Decoding gene regulation in the fly brain
Janssens, J., Aibar, S., Taskiran, I. I., Ismail, J. N., Gomez, A. E., Aughey, G., Spanier, K. I., De Rop, F. V., González-Blas, C. B., Dionne, M., et al. (2022) · Nature · doi:10.1038/s41586-021-04262-z · Cited by 170
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Vannam, R., Sayilgan, J., Ojeda, S., Karakyriakou, B., Hu, E., Kreuzer, J., Morris, R., Herrera Lopez, X. I., Rai, S., Haas, W., et al. (2021) · Cell Chemical Biology · doi:10.1016/j.chembiol.2020.12.004 · Cited by 177
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Lu, T. T.-H., Heyne, S., Dror, E., Casas, E., Leonhardt, L., Boenke, T., Yang, C.-H., Sagar, Arrigoni, L., Dalgaard, K., et al. (2018) · Cell Metabolism · doi:10.1016/j.cmet.2018.04.013 · Cited by 151
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Fernandez-Albert, J., Lipinski, M., Lopez-Cascales, M. T., Rowley, M. J., Martin-Gonzalez, A. M., del Blanco, B., Corces, V. G., & Barco, A. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0476-2 · Cited by 166
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Baek, S., & Lee, I. (2020) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2020.06.012 · Cited by 151
Beagan, J. A., Pastuzyn, E. D., Fernandez, L. R., Guo, M. H., Feng, K., Titus, K. R., Chandrashekar, H., Shepherd, J. D., & Phillips-Cremins, J. E. (2020) · Nature Neuroscience · doi:10.1038/s41593-020-0634-6 · Cited by 143
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Tong, X., Patel, A. S., Kim, E., Li, H., Chen, Y., Li, S., Liu, S., Dilly, J., Kapner, K. S., Zhang, N., et al. (2024) · Cancer Cell · doi:10.1016/j.ccell.2024.01.012 · Cited by 142
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Ai, S., Xiong, H., Li, C. C., Luo, Y., Shi, Q., Liu, Y., Yu, X., Li, C., & He, A. (2019) · Nature Cell Biology · doi:10.1038/s41556-019-0383-5 · Cited by 140
Zou, M., Ke, Q., Nie, Q., Qi, R., Zhu, X., Liu, W., Hu, X., Sun, Q., Fu, J.-L., Tang, X., et al. (2022) · Cell Death & Differentiation · doi:10.1038/s41418-022-00967-4 · Cited by 138
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Baluapuri, A., Hofstetter, J., Dudvarski Stankovic, N., Endres, T., Bhandare, P., Vos, S. M., Adhikari, B., Schwarz, J. D., Narain, A., Vogt, M., et al. (2019) · Molecular Cell · doi:10.1016/j.molcel.2019.02.031 · Cited by 138
Kelly, R. D. W., Chandru, A., Watson, P. J., Song, Y., Blades, M., Robertson, N. S., Jamieson, A. G., Schwabe, J. W. R., & Cowley, S. M. (2018) · Scientific Reports · doi:10.1038/s41598-018-32927-9 · Cited by 138
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Liuyang, S., Wang, G., Wang, Y., He, H., Lyu, Y., Cheng, L., Yang, Z., Guan, J., Fu, Y., Zhu, J., et al. (2023) · Cell Stem Cell · doi:10.1016/j.stem.2023.02.008 · Cited by 136
Li, L., Cui, L., Lin, P., Liu, Z., Bao, S., Ma, X., Nan, H., Zhu, W., Cen, J., Mao, Y., et al. (2023) · Cell Stem Cell · doi:10.1016/j.stem.2023.01.009 · Cited by 134
Poetsch, A. R., Boulton, S. J., & Luscombe, N. M. (2018) · Genome Biology · doi:10.1186/s13059-018-1582-2 · Cited by 132
Arruabarrena-Aristorena, A., Maag, J. L. V., Kittane, S., Cai, Y., Karthaus, W. R., Ladewig, E., Park, J., Kannan, S., Ferrando, L., Cocco, E., et al. (2020) · Cancer Cell · doi:10.1016/j.ccell.2020.08.003 · Cited by 130
Loubiere, V., Papadopoulos, G. L., Szabo, Q., Martinez, A.-M., & Cavalli, G. (2020) · Science Advances · doi:10.1126/sciadv.aax4001 · Cited by 126
FBXO44 promotes DNA replication-coupled repetitive element silencing in cancer cells
Shen, J. Z., Qiu, Z., Wu, Q., Finlay, D., Garcia, G., Sun, D., Rantala, J., Barshop, W., Hope, J. L., Gimple, R. C., et al. (2021) · Cell · doi:10.1016/j.cell.2020.11.042 · Cited by 113
Lau, S.-F., Chen, C., Fu, W.-Y., Qu, J. Y., Cheung, T. H., Fu, A. K. Y., & Ip, N. Y. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.107530 · Cited by 114
Koester, J., Miroshnikova, Y. A., Ghatak, S., Chacón-Martínez, C. A., Morgner, J., Li, X., Atanassov, I., Altmüller, J., Birk, D. E., Koch, M., et al. (2021) · Nature Cell Biology · doi:10.1038/s41556-021-00705-x · Cited by 117
Cross-species analysis of enhancer logic using deep learning
Minnoye, L., Taskiran, I. I., Mauduit, D., Fazio, M., Van Aerschot, L., Hulselmans, G., Christiaens, V., Makhzami, S., Seltenhammer, M., Karras, P., et al. (2020) · Genome Research · doi:10.1101/gr.260844.120 · Cited by 116
Active DNA demethylation promotes cell fate specification and the DNA damage response
Wang, D., Wu, W., Callen, E., Pavani, R., Zolnerowich, N., Kodali, S., Zong, D., Wong, N., Noriega, S., Nathan, W. J., et al. (2022) · Science · doi:10.1126/science.add9838 · Cited by 113
Gillespie, M. A., Palii, C. G., Sanchez-Taltavull, D., Shannon, P., Longabaugh, W. J. R., Downes, D. J., Sivaraman, K., Espinoza, H. M., Hughes, J. R., Price, N. D., et al. (2020) · Molecular Cell · doi:10.1016/j.molcel.2020.03.031 · Cited by 110
Large-scale chromatin reorganization reactivates placenta-specific genes that drive cellular aging
Liu, Z., Ji, Q., Ren, J., Yan, P., Wu, Z., Wang, S., Sun, L., Wang, Z., Li, J., Sun, G., et al. (2022) · Developmental Cell · doi:10.1016/j.devcel.2022.05.004 · Cited by 109
A tissue injury sensing and repair pathway distinct from host pathogen defense
Liu, S., Hur, Y. H., Cai, X., Cong, Q., Yang, Y., Xu, C., Bilate, A. M., Gonzales, K. A. U., Parigi, S. M., Cowley, C. J., et al. (2023) · Cell · doi:10.1016/j.cell.2023.03.031 · Cited by 108
Down-syndrome-induced senescence disrupts the nuclear architecture of neural progenitors
Meharena, H. S., Marco, A., Dileep, V., Lockshin, E. R., Akatsu, G. Y., Mullahoo, J., Watson, L. A., Ko, T., Guerin, L. N., Abdurrob, F., et al. (2022) · Cell Stem Cell · doi:10.1016/j.stem.2021.12.002 · Cited by 92
Glioblastoma epigenome profiling identifies SOX10 as a master regulator of molecular tumour subtype
Wu, Y., Fletcher, M., Gu, Z., Wang, Q., Costa, B., Bertoni, A., Man, K.-H., Schlotter, M., Felsberg, J., Mangei, J., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-20225-w · Cited by 101
Bulut-Karslioglu, A., Macrae, T. A., Oses-Prieto, J. A., Covarrubias, S., Percharde, M., Ku, G., Diaz, A., McManus, M. T., Burlingame, A. L., & Ramalho-Santos, M. (2018) · Cell Stem Cell · doi:10.1016/j.stem.2018.02.004 · Cited by 97
Epigenomic priming of immune genes implicates oligodendroglia in multiple sclerosis susceptibility
Meijer, M., Agirre, E., Kabbe, M., van Tuijn, C. A., Heskol, A., Zheng, C., Mendanha Falcão, A., Bartosovic, M., Kirby, L., Calini, D., et al. (2022) · Neuron · doi:10.1016/j.neuron.2021.12.034 · Cited by 98
Kang, Y., Kim, Y. W., Kang, J., & Kim, A. (2021) · The FASEB Journal · doi:10.1096/fj.202100488r · Cited by 93
de Wet, T. J., Winkler, K. R., Mhlanga, M., Mizrahi, V., & Warner, D. F. (2020) · eLife · doi:10.7554/elife.60083 · Cited by 79
LEDGF and HDGF2 relieve the nucleosome-induced barrier to transcription in differentiated cells
LeRoy, G., Oksuz, O., Descostes, N., Aoi, Y., Ganai, R. A., Kara, H. O., Yu, J.-R., Lee, C.-H., Stafford, J., Shilatifard, A., et al. (2019) · Science Advances · doi:10.1126/sciadv.aay3068 · Cited by 89
SIRT7 mediates L1 elements transcriptional repression and their association with the nuclear lamina
Vazquez, B. N., Thackray, J. K., Simonet, N. G., Chahar, S., Kane-Goldsmith, N., Newkirk, S. J., Lee, S., Xing, J., Verzi, M. P., An, W., et al. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz519 · Cited by 79
Jpx RNA regulates CTCF anchor site selection and formation of chromosome loops
Oh, H. J., Aguilar, R., Kesner, B., Lee, H.-G., Kriz, A. J., Chu, H.-P., & Lee, J. T. (2021) · Cell · doi:10.1016/j.cell.2021.11.012 · Cited by 84
Generation of human adult hepatocyte organoids with metabolic functions
Igarashi, R., Oda, M., Okada, R., Yano, T., Takahashi, S., Pastuhov, S., Matano, M., Masuda, N., Togasaki, K., Ohta, Y., et al. (2025) · Nature · doi:10.1038/s41586-025-08861-y · Cited by 85
Ravichandran, M., Hu, J., Cai, C., Ward, N. P., Venida, A., Foakes, C., Kuljanin, M., Yang, A., Hennessey, C. J., Yang, Y., et al. (2022) · Cancer Discovery · doi:10.1158/2159-8290.cd-22-0044 · Cited by 80
Activation of endogenous retroviruses during brain development causes an inflammatory response
Jönsson, M. E., Garza, R., Sharma, Y., Petri, R., Södersten, E., Johansson, J. G., Johansson, P. A., Atacho, D. A., Pircs, K., Madsen, S., et al. (2021) · The EMBO Journal · doi:10.15252/embj.2020106423 · Cited by 80
Functional multi-organelle units control inflammatory lipid metabolism of macrophages
Zimmermann, J. A., Lucht, K., Stecher, M., Badhan, C., Glaser, K. M., Epple, M. W., Koch, L. R., Deboutte, W., Manke, T., Ebnet, K., et al. (2024) · Nature Cell Biology · doi:10.1038/s41556-024-01457-0 · Cited by 79
Self-citationHNF1A recruits KDM6A to activate differentiated acinar cell programs that suppress pancreatic cancer
Kalisz, M., Bernardo, E., Beucher, A., Maestro, M. A., del Pozo, N., Millán, I., Haeberle, L., Schlensog, M., Safi, S. A., Knoefel, W. T., et al. (2020) · The EMBO Journal · doi:10.15252/embj.2019102808 · Cited by 77
An evolutionary trade-off between host immunity and metabolism drives fatty liver in male mice
Nikkanen, J., Leong, Y. A., Krause, W. C., Dermadi, D., Maschek, J. A., Van Ry, T., Cox, J. E., Weiss, E. J., Gokcumen, O., Chawla, A., et al. (2022) · Science · doi:10.1126/science.abn9886 · Cited by 77
Transcription-dependent cohesin repositioning rewires chromatin loops in cellular senescence
Olan, I., Parry, A. J., Schoenfelder, S., Narita, M., Ito, Y., Chan, A. S. L., Slater, G. S. C., Bihary, D., Bando, M., Shirahige, K., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-19878-4 · Cited by 76
Nascent Transcript Folding Plays a Major Role in Determining RNA Polymerase Elongation Rates
Turowski, T. W., Petfalski, E., Goddard, B. D., French, S. L., Helwak, A., & Tollervey, D. (2020) · Molecular Cell · doi:10.1016/j.molcel.2020.06.002 · Cited by 75
Automated in situ chromatin profiling efficiently resolves cell types and gene regulatory programs
Janssens, D. H., Wu, S. J., Sarthy, J. F., Meers, M. P., Myers, C. H., Olson, J. M., Ahmad, K., & Henikoff, S. (2018) · Epigenetics & Chromatin · doi:10.1186/s13072-018-0243-8 · Cited by 73
Dedifferentiation and neuronal repression define familial Alzheimer’s disease
Caldwell, A. B., Liu, Q., Schroth, G. P., Galasko, D. R., Yuan, S. H., Wagner, S. L., & Subramaniam, S. (2020) · Science Advances · doi:10.1126/sciadv.aba5933 · Cited by 69
12-h clock regulation of genetic information flow by XBP1s
Pan, Y., Ballance, H., Meng, H., Gonzalez, N., Kim, S.-M., Abdurehman, L., York, B., Chen, X., Schnytzer, Y., Levy, O., et al. (2020) · PLOS Biology · doi:10.1371/journal.pbio.3000580 · Cited by 70
Deconstructing Stepwise Fate Conversion of Human Fibroblasts to Neurons by MicroRNAs
Cates, K., McCoy, M. J., Kwon, J.-S., Liu, Y., Abernathy, D. G., Zhang, B., Liu, S., Gontarz, P., Kim, W. K., Chen, S., et al. (2021) · Cell Stem Cell · doi:10.1016/j.stem.2020.08.015 · Cited by 67
Capano, L. S., Sato, C., Ficulle, E., Yu, A., Horie, K., Kwon, J.-S., Burbach, K. F., Barthélemy, N. R., Fox, S. G., Karch, C. M., et al. (2022) · Cell Stem Cell · doi:10.1016/j.stem.2022.04.018 · Cited by 65
Kumar, A., Karuppagounder, S. S., Chen, Y., Corona, C., Kawaguchi, R., Cheng, Y., Balkaya, M., Sagdullaev, B. T., Wen, Z., Stuart, C., et al. (2023) · Neuron · doi:10.1016/j.neuron.2023.06.013 · Cited by 64
Metadata
- Authors
- Ramírez, F., Ryan, D. P., Grüning, B., Bhardwaj, V., Kilpert, F., Richter, A. S., Heyne, S., Dündar, F., & Manke, T.
- Affiliations
- Max Planck Institute of Immunobiology and Epigenetics (DE)
- University of Freiburg (DE)
- Weill Cornell Medicine (US)
- Corresponding author
- Manke, Thomas
- ORCID
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2016-04-13
- Volume
- 44
- Issue
- W1
- Pages
- W160-W165
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- PMC
- PMC4987876
- OpenAlex
- W2341539131
- Cited by
- 8,096
- References
- 2
- Citations by year
- 2026: 1065 · 2025: 1325 · 2024: 1238 · 2023: 1188 · 2022: 1018 · 2021: 941 · 2020: 602 · 2019: 393 · 2018: 234 · 2017: 85 · 2016: 5
- FWCI
- 124.25
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Nucleic Acids Research (publishedVersion, cc-by-nc)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- FreiDok plus (Universitätsbibliothek Freiburg) (submittedVersion, other-oa)
- HighWire Press Open Archive (submittedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Funders
- Deutsche Forschungsgemeinschaft (SFB 992)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Social Sciences › Decision Sciences › Information Systems and Management › Scientific Computing and Data Management
- Keywords
- read normalization, read quality control, read clustering, data visualization
- MeSH terms
- Animals, Base Sequence, Computer Graphics, Drosophila melanogaster, Humans, Software, Information Storage and Retrieval, Sequence Alignment, Sequence Analysis, DNA, Computational Biology, Internet, High-Throughput Nucleotide Sequencing
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