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BEDTools: a flexible suite of utilities for comparing genomic features
Open accessAbstract
MOTIVATION: Testing for correlations between different sets of genomic features is a fundamental task in genomics research. However, searching for overlaps between features with existing web-based methods is complicated by the massive datasets that are routinely produced with current sequencing technologies. Fast and flexible tools are therefore required to ask complex questions of these data in an efficient manner. RESULTS: This article introduces a new software suite for the comparison, manipulation and annotation of genomic features in Browser Extensible Data (BED) and General Feature Format (GFF) format. BEDTools also supports the comparison of sequence alignments in BAM format to both BED and GFF features. The tools are extremely efficient and allow the user to compare large datasets (e.g. next-generation sequencing data) with both public and custom genome annotation tracks. BEDTools can be combined with one another as well as with standard UNIX commands, thus facilitating routine genomics tasks as well as pipelines that can quickly answer intricate questions of large genomic datasets. AVAILABILITY AND IMPLEMENTATION: BEDTools was written in C++. Source code and a comprehensive user manual are freely available at http://code.google.com/p/bedtools CONTACT: aaronquinlan@gmail.com; imh4y@virginia.edu SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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“Peaks present in mock experiments were then subtracted with bedtools (Quinlan and Hall 2010), and the peak set was converted from BED to SAF format.”
From Mitochondrial retrograde control of transcription evolves with respiratory stress, metabolic adaptation, and virulence in budding yeasts (2026) · cites this paper as Quinlan and Hall 2010
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“Generation of consensus peak files from multiple biological replicates was performed using bedtools intersect”
From Super-enhancers include classical enhancers and facilitators to fully activate gene expression (2023) · cites this paper as [81]
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“Peaks in ENCODE blacklisted regions (95) were removed using the intersect function in bedtools2 (96) v2.30.0.”
From Synergy between regulatory elements can render cohesin dispensable for distal enhancer function (2026) · cites this paper as [96]
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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
Improved tools for biological sequence comparison.
Pearson, W. R., & Lipman, D. J. (1988) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.85.8.2444 · Cited by 11,227
The Human Genome Browser at UCSC
Kent, W. J., Sugnet, C. W., Furey, T. S., Roskin, K. M., Pringle, T. H., Zahler, A. M., & Haussler, A. D. (2002) · Genome Research · doi:10.1101/gr.229102 · Cited by 10,400
Galaxy: a platform for interactive large-scale genome analysis.Preprint
Giardine, B., Riemer, C., Hardison, R., Burhans, R. C., Elnitski, L., Shah, P., Zhang, Y., Blankenberg, D., Albert, I., Taylor, J., et al. (2005) · Genome Research · doi:10.1101/gr.4086505 · Cited by 2,217
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Items 901–1,000 of 1,295
Transcriptome sequencing reveals altered long intergenic non-coding RNAs in lung cancer
White, N. M. A., Cabanski, C. R., Silva-Fisher, J., Dang, H. X., Govindan, R., & Maher, C. A. (2014) · Genome biology · doi:10.1186/preaccept-8565849481270705 · Cited by 225
Zheng, L., Li, J., Wu, J., Sun, W., Liu, S., Wang, Z., Zhou, H., Yang, J., & Qu, L. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv1273 · Cited by 226
Myt1l safeguards neuronal identity by actively repressing many non-neuronal fates
Mall, M., Kareta, M. S., Chanda, S., Ahlenius, H., Perotti, N., Zhou, B., Grieder, S. D., Ge, X., Drake, S., Euong Ang, C., et al. (2017) · Nature · doi:10.1038/nature21722 · Cited by 225
riboWaltz: Optimization of ribosome P-site positioning in ribosome profiling data
Lauria, F., Tebaldi, T., Bernabò, P., Groen, E. J. N., Gillingwater, T. H., & Viero, G. (2018) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1006169 · Cited by 227
Targeting CDK9 Reactivates Epigenetically Silenced Genes in Cancer
Zhang, H., Pandey, S., Travers, M. E., Sun, H., Morton, G. C., Madžo, J., Chung, W., Khowsathit, J., Pérez, Ó. C., Barrero, C. A., et al. (2018) · Cell · doi:10.1016/j.cell.2018.09.051 · Cited by 223
Distinct mechanisms of microRNA sorting into cancer cell-derived extracellular vesicle subtypes
Temoche-Diaz, M. M., Shurtleff, M. J., Nottingham, R. M., Yao, J., Fadadu, R. P., Lambowitz, A. M., & Schekman, R. (2019) · eLife · doi:10.7554/elife.47544 · Cited by 227
Capsid-CPSF6 Interaction Licenses Nuclear HIV-1 Trafficking to Sites of Viral DNA Integration
Achuthan, V., Perreira, J. M., Sowd, G. A., Puray-Chavez, M., McDougall, W. M., Paulucci-Holthauzen, A., Wu, X., Fadel, H. J., Poeschla, E. M., Multani, A. S., et al. (2018) · Cell Host & Microbe · doi:10.1016/j.chom.2018.08.002 · Cited by 205
Molecular and functional variation in iPSC-derived sensory neurons
HIPSCI Consortium, Schwartzentruber, J., Foskolou, S., Kilpinen, H., Rodrigues, J., Alasoo, K., Knights, A. J., Patel, M., Goncalves, A., Ferreira, R., et al. (2018) · Nature Genetics · doi:10.1038/s41588-017-0005-8 · Cited by 223
Lelieveld, S. H., Spielmann, M., Mundlos, S., Veltman, J. A., & Gilissen, C. (2015) · Human Mutation · doi:10.1002/humu.22813 · Cited by 217
LIN28A Is a Suppressor of ER-Associated Translation in Embryonic Stem Cells
Cho, J., Chang, H., Kwon, S. C., Kim, B., Kim, Y., Choe, J., Ha, M., Kim, Y. K., & Kim, V. N. (2012) · Cell · doi:10.1016/j.cell.2012.10.019 · Cited by 223
Global gene disruption in human cells to assign genes to phenotypes
Carette, J. E., Guimarães, C. P., Wüthrich, I., Blomen, V. A., Varadarajan, M., Sun, C., Bell, G. W., Yuan, B., Muellner, M. K., Nijman, S. M. B., et al. (2011) · PubMed Central · doi:10.1038/nbt.1857
Suppression of the FOXM1 transcriptional programme via novel small molecule inhibition
Gormally, M. V., Dexheimer, T. S., Marsico, G., Sanders, D. A., Lowe, C. E., Matak‐Vinković, D., Michael, S., Jadhav, A., Rai, G., Maloney, D. J., et al. (2014) · Nature Communications · doi:10.1038/ncomms6165 · Cited by 223
A Generic and Cell-Type-Specific Wound Response Precedes Regeneration in Planarians
Wurtzel, O., Cote, L. E., Poirier, A., Satija, R., Regev, A., & Reddien, P. W. (2015) · Developmental Cell · doi:10.1016/j.devcel.2015.11.004 · Cited by 221
Functional Dissection of the Enhancer Repertoire in Human Embryonic Stem Cells
Barakat, T. S., Halbritter, F., Zhang, M., Rendeiro, A. F., Perenthaler, E., Bock, C., & Chambers, I. (2018) · Cell stem cell · doi:10.1016/j.stem.2018.06.014 · Cited by 227
Legras, J., Galéote, V., Bigey, F., Camarasa, C., Marsit, S., Nidelet, T., Sanchez, I., Couloux, A., Guy, J., Franco‐Duarte, R., et al. (2018) · Molecular Biology and Evolution · doi:10.1093/molbev/msy066 · Cited by 216
Comparative genomics of the tardigrades Hypsibius dujardini and Ramazzottius varieornatus
Yoshida, Y., Koutsovoulos, G., Laetsch, D. R., Stevens, L., Kumar, S., Horikawa, D. D., Ishino, K., Komine, S., Kunieda, T., Tomita, M., et al. (2017) · PLoS Biology · doi:10.1371/journal.pbio.2002266 · Cited by 229
Mouse totipotent stem cells captured and maintained through spliceosomal repression
Shen, H., Yang, M., Li, S., Zhang, J., Peng, B., Wang, C., Chang, Z., Ong, J., & Du, P. (2021) · Cell · doi:10.1016/j.cell.2021.04.020 · Cited by 221
Long, H. K., Sims, D., Heger, A., Blackledge, N. P., Kutter, C., Wright, M. L., Grützner, F., Odom, D. T., Patient, R. K., Ponting, C. P., et al. (2013) · eLife · doi:10.7554/elife.00348 · Cited by 232
Designing a transcriptome next‐generation sequencing project for a nonmodel plant species1
Strickler, S. R., Bombarely, A., & Mueller, L. A. (2012) · American Journal of Botany · doi:10.3732/ajb.1100292 · Cited by 232
Vijay, N., Poelstra, J. W., Künstner, A., & Wolf, J. B. W. (2012) · Molecular Ecology · doi:10.1111/mec.12014 · Cited by 230
Cao, Q., Anyansi, C., Hu, X. S., Xu, L., Xiong, L., Tang, W., Mok, M. T. S., Cheng, C., Fan, X., Gerstein, M., et al. (2017) · Nature Genetics · doi:10.1038/ng.3950 · Cited by 220
Depledge, D. P., Srinivas, K. P., Sadaoka, T., Bready, D., Mori, Y., Placantonakis, D. G., Mohr, I., & Wilson, A. C. (2019) · Nature Communications · doi:10.1038/s41467-019-08734-9 · Cited by 217
Dynamics and genomic landscape of CD8+ T cells undergoing hepatic priming
Bénéchet, A. P., De Simone, G., Di Lucia, P., Cilenti, F., Barbiera, G., Le Bert, N., Fumagalli, V., Lusito, E., Moalli, F., Bianchessi, V., et al. (2019) · Nature · doi:10.1038/s41586-019-1620-6 · Cited by 222
Kleppe, M., Koche, R., Zou, L., van Galen, P., Hill, C. E., Dong, L., De Groote, S., Papalexi, E., Hanasoge Somasundara, A. V., Cordner, K., et al. (2018) · Cancer Cell · doi:10.1016/j.ccell.2017.11.009 · Cited by 279
Defective removal of ribonucleotides from DNA promotes systemic autoimmunity
Günther, C., Kind, B., Reijns, M. A. M., Berndt, N., Martínez‐Bueno, M., Wolf, C., Tüngler, V., Chara, O., Lee, Y. A., Hübner, N., et al. (2014) · Journal of Clinical Investigation · doi:10.1172/jci78001 · Cited by 226
Accurate H3K27 methylation can be established de novo by SUZ12-directed PRC2
Højfeldt, J. W., Laugesen, A., Willumsen, B. M., Damhofer, H., Hedehus, L., Tvardovskiy, A., Mohammad, F., Jensen, O. N., & Helin, K. (2018) · Nature Structural & Molecular Biology · doi:10.1038/s41594-018-0036-6 · Cited by 235
Increasing tolerance of hospital Enterococcus faecium to handwash alcohols
Pidot, S. J., Gao, W., Buultjens, A. H., Monk, I. R., Guérillot, R., Carter, G. P., Lee, J. Y. H., Lam, M. M. C., Grayson, M. L., Ballard, S. A., et al. (2018) · Science Translational Medicine · doi:10.1126/scitranslmed.aar6115 · Cited by 222
DeepC: predicting 3D genome folding using megabase-scale transfer learning
Schweßinger, R., Gosden, M. E., Downes, D. J., Brown, R. C., Oudelaar, A. M., Telenius, J. M., Teh, Y. W., Lunter, G. A., & Hughes, J. R. (2020) · Nature Methods · doi:10.1038/s41592-020-0960-3 · Cited by 223
Single-cell DNA sequencing reveals a late-dissemination model in metastatic colorectal cancerPreprint
Leung, M. L., Davis, A., Gao, R., Casasent, T. D., Wang, Y., Sei, E., Vilar, E., Maru, D. M., Kopetz, S., & Navin, N. E. (2017) · Genome Research · doi:10.1101/gr.209973.116 · Cited by 220
Depuydt, S., Rodríguez‐Villalón, A., Santuari, L., Wyser-Rmili, C., Ragni, L., & Hardtke, C. S. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1222314110 · Cited by 221
Germ line–inherited H3K27me3 restricts enhancer function during maternal-to-zygotic transition
Zenk, F. L., Loeser, E., Schiavo, R., Kilpert, F., Bogdanović, O., & Iovino, N. (2017) · Science · doi:10.1126/science.aam5339 · Cited by 218
Molecular Mechanisms for CFIm-Mediated Regulation of mRNA Alternative Polyadenylation
Zhu, Y., Wang, X., Forouzmand, E., Jeong, J., Qiao, F., Sowd, G. A., Engelman, A., Xie, X. S., Hertel, K. J., & Shi, Y. (2017) · Molecular Cell · doi:10.1016/j.molcel.2017.11.031 · Cited by 221
Jia, G., Preussner, J., Chen, X. X., Günther, S., Yuan, X., Yekelchyk, M., Kuenne, C. T., Looso, M., Zhou, Y., Teichmann, S. A., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-07307-6 · Cited by 219
Stuart, T., Eichten, S. R., Cahn, J., Karpievitch, Y. V., Borevitz, J., & Lister, R. (2016) · eLife · doi:10.7554/elife.20777 · Cited by 216
Guo, C., Cai, P., Jin, L., Sha, Q., Yu, Q., Zhang, W., Jiang, C., Liu, Q., Zong, D., Li, K., et al. (2021) · Cell Discovery · doi:10.1038/s41421-020-00236-z · Cited by 226
Initial Upper Palaeolithic humans in Europe had recent Neanderthal ancestry
Hajdinjak, M., Mafessoni, F., Skov, L., Vernot, B., Hübner, A., Fu, Q., Essel, E., Nagel, S., Nickel, B., Richter, J., et al. (2021) · Nature · doi:10.1038/s41586-021-03335-3 · Cited by 232
Tian, L., Jabbari, J. S., Thijssen, R., Gouil, Q. A., Amarasinghe, S. L., Voogd, O., Kariyawasam, H., Du, M. R. M., Schuster, J., Wang, C., et al. (2021) · Genome biology · doi:10.1186/s13059-021-02525-6 · Cited by 215
Gene regulation by gonadal hormone receptors underlies brain sex differences
Gegenhuber, B., Wu, M. V., Bronstein, R., & Tollkuhn, J. (2022) · Nature · doi:10.1038/s41586-022-04686-1 · Cited by 221
Principles of transcriptome analysis and gene expression quantification: an RNA ‐seq tutorial
Wolf, J. B. W. (2013) · Molecular Ecology Resources · doi:10.1111/1755-0998.12109 · Cited by 235
Li, Q., Gent, J. I., Zynda, G. J., Song, J., Makarevitch, I., Hirsch, C. D., Hirsch, C. N., Dawe, R. K., Madzima, T. F., McGinnis, K. M., et al. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1514680112 · Cited by 223
Garzia, A., Jafarnejad, S. M., Meyer, C., Chapat, C., Gogakos, T., Morozov, P. S., Amiri, M., Shapiro, M., Molina, H., Tuschl, T., et al. (2017) · Nature Communications · doi:10.1038/ncomms16056 · Cited by 216
Evaluation of TagSeq, a reliable low‐cost alternative for RNA seq
Lohman, B. K., Weber, J. N., & Bolnick, D. I. (2016) · Molecular Ecology Resources · doi:10.1111/1755-0998.12529 · Cited by 224
The PP2A-Integrator-CDK9 axis fine-tunes transcription and can be targeted therapeutically in cancer
Vervoort, S. J., Welsh, S. A., Devlin, J. R., Barbieri, E., Knight, D. A., Offley, S. R., Bjelosevic, S., Costacurta, M., Todorovski, I., Kearney, C. J., et al. (2021) · Cell · doi:10.1016/j.cell.2021.04.022 · Cited by 211
piRNA pathway targets active LINE1 elements to establish the repressive H3K9me3 mark in germ cellsPreprint
Pezić, D., Manakov, S. A., Sachidanandam, R., & Aravin, A. A. (2014) · Genes & Development · doi:10.1101/gad.240895.114 · Cited by 239
Position-dependent FUS-RNA interactions regulate alternative splicing events and transcriptions
Ishigaki, S., Masuda, A., Fujioka, Y., Iguchi, Y., Katsuno, M., Shibata, A., Urano, F., Sobue, G., & Ohno, K. (2012) · Scientific Reports · doi:10.1038/srep00529 · Cited by 219
Drivers of genetic diversity in secondary metabolic gene clusters within a fungal species
Lind, A., Wisecaver, J. H., Lameiras, C., Wiemann, P., Palmer, J. M., Keller, N. P., Rodrigues, F. J. S., Goldman, G. H., & Rokas, A. (2017) · PLoS Biology · doi:10.1371/journal.pbio.2003583 · Cited by 212
Gruber, A. J., Schmidt, R., Gruber, A. J., Martin, G., Ghosh, S., Belmadani, M., Keller, W., & Zavolan, M. (2016) · Genome Research · doi:10.1101/gr.202432.115 · Cited by 213
Ultra-fast deep-learned CNS tumour classification during surgery
Vermeulen, C., Pagès-Gallego, M., Kester, L., Kranendonk, M. E. G., Wesseling, P., Verburg, N., de Witt Hamer, P., Kooi, E. J., Dankmeijer, L., van der Lugt, J., et al. (2023) · Nature · doi:10.1038/s41586-023-06615-2 · Cited by 216
The Evolution of Lineage-Specific Regulatory Activities in the Human Embryonic Limb
Cotney, J. L., Leng, J., Yin, J., Reilly, S. K., DeMare, L. E., Emera, D., Ayoub, A. E., RAKIC, P. T., & Noonan, J. P. (2013) · Cell · doi:10.1016/j.cell.2013.05.056 · Cited by 215
Treatment Outcomes and Tumor Loss of Heterozygosity in Germline DNA Repair–deficient Prostate Cancer
Annala, M., Struss, W. J., Warner, E. W., Beja, K., Vandekerkhove, G. R., Wong, A., Khalaf, D. J., Seppälä, I.-L., So, A., Lo, G. K., et al. (2017) · European Urology · doi:10.1016/j.eururo.2017.02.023 · Cited by 218
Migratory DCs activate TGF-β to precondition naïve CD8 + T cells for tissue-resident memory fate
Mani, V., Bromley, S. K., Äijö, T., Mora‐Buch, R., Carrizosa, E., Warner, R. D., Hamze, M., Sen, D. R., Chasse, A. Y., Lorant, A. K., et al. (2019) · Science · doi:10.1126/science.aav5728 · Cited by 226
A metabolic labeling method detects m6A transcriptome-wide at single base resolution
Shu, X., Cao, J., Cheng, M., Xiang, S., Gao, M., Li, T., Ying, X., Wang, F., Yue, Y., Lu, Z., et al. (2020) · Nature Chemical Biology · doi:10.1038/s41589-020-0526-9 · Cited by 219
Chromosome-scale and haplotype-resolved genome assembly of a tetraploid potato cultivar
Sun, H., Jiao, W., Krause, K., Campoy, J. A., Goel, M., Folz‐Donahue, K., Kukat, C., Hüettel, B., & Schneeberger, K. (2022) · Nature Genetics · doi:10.1038/s41588-022-01015-0 · Cited by 221
Interplay of TRIM28 and DNA methylation in controlling human endogenous retroelementsPreprint
Turelli, P., Castro-Díaz, N., Marzetta, F., Kapopoulou, A., Raclot, C., Duc, J., Tieng, V., Quenneville, S., & Trono, D. (2014) · Genome Research · doi:10.1101/gr.172833.114 · Cited by 226
Genome modeling and design across all domains of life with Evo 2Preprint
Brixi, G., Durrant, M. G., Ku, J., Poli, M., Brockman, G., Chang, D., Gonzalez, G. A., King, S. B., Li, D. B., Merchant, A. T., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.02.18.638918 · Cited by 218
Loss-of-function mutations in the IL-21 receptor gene cause a primary immunodeficiency syndrome
Kotlarz, D., Ziętara, N., Uzel, G., Weidemann, T., Braun, C. J., Diestelhorst, J., Krawitz, P. M., Robinson, P. N., Hecht, J., Puchałka, J., et al. (2013) · The Journal of Experimental Medicine · doi:10.1084/jem.20111229 · Cited by 223
Single-cell RNA-seq reveals hidden transcriptional variation in malaria parasites
Reid, A. J., Talman, A. M., Bennett, H. M., Gomes, A. R., Sanders, M. J., Illingworth, C. J. R., Billker, O., Berriman, M., & Lawniczak, M. (2018) · eLife · doi:10.7554/elife.33105 · Cited by 220
Pilkington, S. M., Crowhurst, R. N., Hilario, E., Nardozza, S., Fraser, L. G., Peng, Y., Gunaseelan, K., Simpson, R. M., Tahir, J., Deroles, S. C., et al. (2018) · BMC Genomics · doi:10.1186/s12864-018-4656-3 · Cited by 221
Paleolithic to Bronze Age Siberians Reveal Connections with First Americans and across Eurasia
He, Y. H., Spyrou, M. A., Karapetian, M. K., Shnaider, S. V., Radzevičiūtė, R., Nägele, K., Neumann, G. U., Penske, S., Zech, J., Lucas, M., et al. (2020) · Cell · doi:10.1016/j.cell.2020.04.037 · Cited by 225
A hybrid approach for de novo human genome sequence assembly and phasing
Mostovoy, Y., Levy‐Sakin, M., Lam, J. C., Lam, E. T., Hastie, A. R., Marks, P., Lee, J., Chu, C., Lin, C. J., Džakula, Ž., et al. (2016) · Nature Methods · doi:10.1038/nmeth.3865 · Cited by 216
Michelson, D. A., Hase, K., Kaisho, T., Benoist, C. O., & Mathis, D. J. (2022) · Cell · doi:10.1016/j.cell.2022.05.018 · Cited by 213
Bonin, N., Doster, E., Worley, H., Pinnell, L. J., Bravo, J. E., Ferm, P., Marini, S., Prosperi, M., Noyes, N. R., Morley, P. S., et al. (2022) · Nucleic Acids Research · doi:10.1093/nar/gkac1047 · Cited by 226
Roosan, M. R., Jackson, L. K., Johnson, W. E., Li, D. Y., Bild, A. H., & Piccolo, S. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btv377 · Cited by 212
Genome sequence of the olive tree, Olea europaea
Cruz, F., Julca, I., Gómez‐Garrido, J., Loska, D., Marcet‐Houben, M., Cano, E., Galán, B., Frías, L., Ribeca, P., Derdak, S. V., et al. (2016) · GigaScience · doi:10.1186/s13742-016-0134-5 · Cited by 225
Evolutionary dynamics of 3D genome architecture following polyploidization in cotton
Wang, M., Wang, P., Lin, M., Ye, Z., Li, G., Tu, L., Shen, C., Li, J., Yang, Q., & Zhang, X. (2018) · Nature Plants · doi:10.1038/s41477-017-0096-3 · Cited by 217
Trapecar, M., Communal, C., Velazquez, J., Maass, C. A., Huang, Y.-J., Schneider, K., Wright, C. W., Butty, V., Eng, G., Yilmaz, O., et al. (2020) · Cell Systems · doi:10.1016/j.cels.2020.02.008 · Cited by 218
Ashe, A., Bélicard, T., Pen, J. L., Sarkies, P., Frézal, L., Lehrbach, N. J., Félix, M., & Miska, E. A. (2013) · eLife · doi:10.7554/elife.00994 · Cited by 215
Park, N. I., Guilhamon, P., Desai, K., McAdam, R. F., Langille, E. R., O’Connor, M., Lan, X., Whetstone, H., Coutinho, F. J., Vanner, R. J., et al. (2017) · Cell stem cell · doi:10.1016/j.stem.2017.06.004 · Cited by 218
Stout camphor tree genome fills gaps in understanding of flowering plant genome evolution
Chaw, S., Liu, Y.-C., Wu, Y., Wang, H.-Y., Lin, C. I., Wu, C., Ke, H., Chang, L., Hsu, C.-Y., Yang, H.-T., et al. (2019) · Nature Plants · doi:10.1038/s41477-018-0337-0 · Cited by 214
Leveraging multiple transcriptome assembly methods for improved gene structure annotation
Venturini, L., Caim, S., Kaithakottil, G., Mapleson, D., & Swarbreck, D. (2018) · GigaScience · doi:10.1093/gigascience/giy093 · Cited by 215
Genetic determinants of co-accessible chromatin regions in activated T cells across humans
Gate, R. E., Cheng, C. S., Aiden, A. P., Siba, A., Tabaka, M., Lituiev, D., Machol, I., Gordon, M. G., Subramaniam, M., Shamim, M., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0156-2 · Cited by 181
Metabolic heterogeneity underlies reciprocal fates of TH17 cell stemness and plasticity
Karmaus, P. W. F., Chen, X., Lim, S. A., Herrada, A. A., Nguyen, T.-L. M., Xu, B., Dhungana, Y., Rankin, S., Chen, W., Rosencrance, C., et al. (2019) · Nature · doi:10.1038/s41586-018-0806-7 · Cited by 215
Martin, P., McGovern, A., Orozco, G., Duffus, K., Yarwood, A., Schoenfelder, S., Cooper, N. J., Barton, A., Wallace, C., Fraser, P., et al. (2015) · Nature Communications · doi:10.1038/ncomms10069 · Cited by 213
Abascal, F., Corvelo, A., Cruz, F., Villanueva‐Cañas, J. L., Vlasova, A. V., Marcet‐Houben, M., Martínez‐Cruz, B., Cheng, J. Y., Prieto, P., Quesada, V., et al. (2016) · Genome biology · doi:10.1186/s13059-016-1090-1 · Cited by 221
The evolutionary history of bears is characterized by gene flow across species
Kumar, V., Lammers, F., Bidon, T., Pfenninger, M., Kolter, L., Nilsson, M. A., & Janke, A. (2017) · Scientific Reports · doi:10.1038/srep46487 · Cited by 217
Pelletier, J. M., Kwong, R. W., Park, S., Le, B. H., Baden, R. W., Cagliari, A., Hashimoto, M., Munoz, M. D., Fischer, R. L., Goldberg, R. B., et al. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1707957114 · Cited by 213
Li, S., Bostick, J. W., Ye, J., Qiu, J., Zhang, B., Urban, J. F., Avram, D., & Zhou, L. (2018) · Immunity · doi:10.1016/j.immuni.2018.09.015 · Cited by 215
Pulmonary venous circulating tumor cell dissemination before tumor resection and disease relapse
Chemi, F., Rothwell, D. G., McGranahan, N., Gulati, S., Abbosh, C., Pearce, S. P., Zhou, C., Wilson, G. A., Jamal‐Hanjani, M., Birkbak, N. J., et al. (2019) · Nature Medicine · doi:10.1038/s41591-019-0593-1 · Cited by 216
Souroullas, G. P., Jeck, W. R., Parker, J. S., Simon, J. M., Liu, J.-Y., Paulk, J., Xiong, J., Clark, K. S., Fedoriw, Y., Qi, J., et al. (2016) · Nature Medicine · doi:10.1038/nm.4092 · Cited by 212
Deep sequencing reveals increased DNA methylation in chronic rat epilepsy
Kobow, K., Kaspi, A., Kaipananickal, H., Kiese, K., Ziemann, M., Khurana, I., Fritzsche, I., Hauke, J., Hahnen, E., Coras, R., et al. (2013) · Acta Neuropathologica · doi:10.1007/s00401-013-1168-8 · Cited by 214
The use of museum specimens with high-throughput DNA sequencers
Burrell, A. S., Disotell, T. R., & Bergey, C. M. (2014) · Journal of Human Evolution · doi:10.1016/j.jhevol.2014.10.015 · Cited by 224
Cell-type specialization is encoded by specific chromatin topologies
Winick‐Ng, W., Kukalev, A., Harabula, I., Zea-Redondo, L., Szabó, D., Meijer, M., Serebreni, L., Zhang, Y., Bianco, S., Chiariello, A. M., et al. (2021) · Nature · doi:10.1038/s41586-021-04081-2 · Cited by 214
Durrant, M. G., Fanton, A., Tycko, J., Hinks, M. M., Chandrasekaran, S. S., Perry, N. T., Schaepe, J. M., Du, P. P., Lotfy, P., Bassik, M. C., et al. (2022) · Nature Biotechnology · doi:10.1038/s41587-022-01494-w · Cited by 212
A global catalog of whole-genome diversity from 233 primate species
Kuderna, L. F. K., Gao, H., Janiak, M. C., Kuhlwilm, M., Orkin, J. D., Bataillon, T. M., Manu, S., Valenzuela, A., Bergman, J., Rousselle, M. M. C., et al. (2023) · Science · doi:10.1126/science.abn7829 · Cited by 222
Transcriptome Analysis of the Human Striatum in Tourette Syndrome
Lennington, J. B., Coppola, G., Kataoka-Sasaki, Y., Fernandez, T. V., Palejev, D., Li, Y., Huttner, A., Pletikos, M., Sestan, N., Leckman, J. F., et al. (2016) · Biological Psychiatry · doi:10.1016/j.biopsych.2014.07.018 · Cited by 211
CoBATCH for High-Throughput Single-Cell Epigenomic Profiling
Wang, Q., Xiong, H., Ai, S., Yu, X., Liu, Y., Zhang, J., & He, A. (2019) · Molecular Cell · doi:10.1016/j.molcel.2019.07.015 · Cited by 213
Targeting the MLL complex in castration-resistant prostate cancer
Malik, R., Khan, A. P., Asangani, I. A., Cieslik, M. P., Prensner, J. R., Wang, X., Iyer, M. K., Jiang, X., Borkin, D., Escara-Wilke, J. F., et al. (2015) · Nature Medicine · doi:10.1038/nm.3830 · Cited by 219
Hu, Z., Song, N., Zheng, M., Liu, X., Liu, Z., Xing, J., Ma, J., Guo, W., Yao, Y., Peng, H., et al. (2015) · The Plant Journal · doi:10.1111/tpj.13076 · Cited by 211
Pardo-Palacios, F. J., Arzalluz-Luque, Á., Kondratova, L., Salguero, P., Mestre‐Tomás, J., Amorín, R., Estevan-Morió, E., Liu, T., Nanni, A. V., McIntyre, L. M., et al. (2024) · Nature Methods · doi:10.1038/s41592-024-02229-2 · Cited by 219
L1-associated genomic regions are deleted in somatic cells of the healthy human brain
Erwin, J. A., Paquola, A. C. M., Singer, T., Gallina, I., Novotny, M., Quayle, C., Bedrosian, T. A., Alves, F. I. A., Butcher, C. R., Herdy, J. R., et al. (2016) · Nature Neuroscience · doi:10.1038/nn.4388 · Cited by 195
Qi, X., Xie, S., Liu, Y., Yi, F., & Yu, J. (2013) · Plant Molecular Biology · doi:10.1007/s11103-013-0104-6 · Cited by 209
Breaking-Cas—interactive design of guide RNAs for CRISPR-Cas experiments for ENSEMBL genomes
Oliveros, J. C., Franch, M., Tabas‐Madrid, D., León, D. S., Montoliu, L., Cubas, P., & Pazos, F. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw407 · Cited by 204
Hane, J. K., Ming, Y., Kamphuis, L. G., Nelson, M. N., Garg, G., Atkins, C. A., Bayer, P. E., Bravo, A., Bringans, S., Cannon, S. B., et al. (2016) · Plant Biotechnology Journal · doi:10.1111/pbi.12615 · Cited by 214
Braun, C. J., Stanciu, M., Boutz, P. L., Patterson, J. C., Calligaris, D., Higuchi, F., Neupane, R., Fenoglio, S., Cahill, D. P., Wakimoto, H., et al. (2017) · Cancer Cell · doi:10.1016/j.ccell.2017.08.018 · Cited by 207
Chromatin Accessibility Landscape in Human Early Embryos and Its Association with Evolution
Gao, L., Wu, K., Liu, Z., Yao, X., Yuan, S., Tao, W., Yi, L., Yu, G., Hou, Z., Fan, D., et al. (2018) · Cell · doi:10.1016/j.cell.2018.02.028 · Cited by 208
Toenhake, C. G., Fraschka, S. A. K., Vijayabaskar, M. S., Westhead, D. R., van Heeringen, S., & Bártfai, R. (2018) · Cell Host & Microbe · doi:10.1016/j.chom.2018.03.007 · Cited by 198
Epigenomic analysis detects aberrant super-enhancer DNA methylation in human cancer
Heyn, H., Vidal, E., Ferreira, H. J., Vizoso, M., Sayols, S., Gómez, A., Morán, S., Boqué-Sastre, R., Guil, S., Martínez‐Cardús, A., et al. (2016) · Genome biology · doi:10.1186/s13059-016-0879-2 · Cited by 211
Ameur, A., Dahlberg, J., Olason, P. I., Vezzi, F., Karlsson, R., Martin, M., Viklund, J., Kähäri, A., Lundin, P., Che, H., et al. (2017) · European Journal of Human Genetics · doi:10.1038/ejhg.2017.130 · Cited by 209
Antibody-free enzyme-assisted chemical approach for detection of N6-methyladenosine
Wang, Y., Xiao, Y., Dong, S., Yu, Q., & Jia, G. (2020) · Nature Chemical Biology · doi:10.1038/s41589-020-0525-x · Cited by 213
Epigenetic regulation during cancer transitions across 11 tumour types
Terekhanova, N. V., Karpova, A. Y., Liang, W.-W., Strzalkowski, A. J., Chen, S., Li, Y., Southard-Smith, A. N., Iglesia, M. D., Wendl, M. C., Jayasinghe, R. G., et al. (2023) · Nature · doi:10.1038/s41586-023-06682-5 · Cited by 216
Metadata
- Authors
- Quinlan, A. R., & Hall, I. M.
- Affiliations
- University of Virginia (US)
- Corresponding author
- Quinlan, Aaron R.
- Hall, Ira M.
- Venue
- Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Published
- 2010-01-28
- Volume
- 26
- Issue
- 6
- Pages
- 841-842
- ISSN
- 1367-4803 (ISSN-L)
- 1367-4811
- PMC
- PMC2832824
- OpenAlex
- W2102619694
- Cited by
- 27,437
- References
- 4
- Citations by year
- 2026: 2474 · 2025: 3385 · 2024: 3380 · 2023: 2862 · 2022: 2676 · 2021: 2957 · 2020: 2267 · 2019: 1731 · 2018: 1533 · 2017: 1185 · 2016: 932 · 2015: 743 · 2014: 616 · 2013: 387 · 2012: 212
- FWCI
- 88.15
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Bioinformatics (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Funders
- Wellcome Trust
- National Institutes of Health (1dp2od006493-01)
- National Human Genome Research Institute (F32HG005197)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genetics, Bioinformatics, and Biomedical Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Keywords
- bedtools, BAM alignment file, genome annotation, feature overlap, next-generation sequencing data
- MeSH terms
- Software, Genome, Internet, Genomics
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