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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
Research works printed but not linked: 1
- Smit, 1996, RepeatMasker. Open-3.0.
Cited by
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featureCounts: an efficient general purpose program for assigning sequence reads to genomic features
Liao, Y., Smyth, G. K., & Shi, W. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btt656 · Cited by 27,219
HTSeq—a Python framework to work with high-throughput sequencing data
Anders, S., Pyl, P. T., & Huber, W. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btu638 · Cited by 21,464
Comprehensive Integration of Single-Cell Data
Stuart, T., Butler, A., Hoffman, P., Hafemeister, C., Papalexi, E., Mauck, W. M., Hao, Y., Stoeckius, M., Smibert, P., & Satija, R. (2019) · Cell · doi:10.1016/j.cell.2019.05.031 · Cited by 15,453
RNA-Guided Human Genome Engineering via Cas9
Mali, P., Yang, L., Esvelt, K. M., Aach, J., Guell, M., DiCarlo, J. E., Norville, J. E., & Church, G. M. (2013) · Science · doi:10.1126/science.1232033 · Cited by 9,210
Trapnell, C., Cacchiarelli, D., Grimsby, J., Pokharel, P., Li, S., Morse, M., Lennon, N. J., Livak, K. J., Mikkelsen, T. S., & Rinn, J. L. (2014) · Nature Biotechnology · doi:10.1038/nbt.2859 · Cited by 7,314
Predicting effective microRNA target sites in mammalian mRNAs
Agarwal, V., Bell, G. W., Nam, J.-W., & Bartel, D. P. (2015) · eLife · doi:10.7554/elife.05005 · Cited by 7,318
Li, J.-H., Liu, S., Zhou, H., Qu, L.-H., & Yang, J.-H. (2014) · Nucleic Acids Research · doi:10.1093/nar/gkt1248 · Cited by 4,686
Derrien, T., Johnson, R., Bussotti, G., Andrea Tanzer, A., Djebali, S., Tilgner, H., Guernec, G., Martin, D., Merkel, A., Knowles, D. G., et al. (2012) · Genome Research · doi:10.1101/gr.132159.111 · Cited by 5,135
The Genotype-Tissue Expression (GTEx) pilot analysis: Multitissue gene regulation in humans
The GTEx Consortium, Ardlie, K. G., Deluca, D. S., Segrè, A. V., Sullivan, T. J., Young, T. R., Gelfand, E. T., Trowbridge, C. A., Maller, J. B., Tukiainen, T., et al. (2015) · Science · doi:10.1126/science.1262110 · Cited by 5,062
Topology of the human and mouse m6A RNA methylomes revealed by m6A-seq
Dominissini, D., Moshitch-Moshkovitz, S., Schwartz, S., Salmon-Divon, M., Ungar, L., Osenberg, S., Cesarkas, K., Jacob-Hirsch, J., Amariglio, N., Kupiec, M., et al. (2012) · Nature · doi:10.1038/nature11112 · Cited by 4,884
Software for Computing and Annotating Genomic Ranges
Lawrence, M. F., Huber, W. K., Pagès, H., Aboyoun, P., Carlson, M. R. J., Gentleman, R. C., Morgan, M. T., & Carey, V. J. (2013) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003118 · Cited by 4,475
Circular RNAs are abundant, conserved, and associated with ALU repeats
Jeck, W. R., Sorrentino, J. A., Wang, K., Slevin, M. K., Burd, C. E., Liu, J., Marzluff, W. F., & Sharpless, N. E. (2013) · RNA · doi:10.1261/rna.035667.112 · Cited by 4,388
Comprehensive Analysis of mRNA Methylation Reveals Enrichment in 3′ UTRs and near Stop Codons
Meyer, K. D., Saletore, Y., Zumbo, P., Elemento, O., Mason, C. E., & Jaffrey, S. R. (2012) · Cell · doi:10.1016/j.cell.2012.05.003 · Cited by 4,223
Genetic effects on gene expression across human tissues
GTEx Consortium (2017) · Nature · doi:10.1038/nature24277 · Cited by 4,036
Shifting the limits in wheat research and breeding using a fully annotated reference genome
Appels, R., Eversole, K., Stein, N., Feuillet, C., Keller, B., Rogers, J., Pozniak, C. J., Choulet, F., Distelfeld, A., Poland, J., et al. (2018) · Science · doi:10.1126/science.aar7191 · Cited by 3,183
Liao, Y., Smyth, G. K., & Shi, W. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz114 · Cited by 2,927
The landscape of long noncoding RNAs in the human transcriptome
Iyer, M. K., Niknafs, Y. S., Malik, R., Singhal, U., Sahu, A., Hosono, Y., Barrette, T. R., Prensner, J. R., Evans, J. R., Zhao, S., et al. (2015) · Nature Genetics · doi:10.1038/ng.3192 · Cited by 2,738
An improved ATAC-seq protocol reduces background and enables interrogation of frozen tissues
Corces, M. R., Trevino, A. E., Hamilton, E. G., Greenside, P. G., Sinnott-Armstrong, N. A., Vesuna, S., Satpathy, A. T., Rubin, A. J., Montine, K. S., Wu, B., et al. (2017) · Nature Methods · doi:10.1038/nmeth.4396 · Cited by 2,496
MetaWRAP—a flexible pipeline for genome-resolved metagenomic data analysis
Uritskiy, G. V., DiRuggiero, J., & Taylor, J. (2018) · Microbiome · doi:10.1186/s40168-018-0541-1 · Cited by 2,642
Coactivator condensation at super-enhancers links phase separation and gene control
Sabari, B. R., Dall’Agnese, A., Boija, A., Klein, I. A., Coffey, E. L., Shrinivas, K., Abraham, B. J., Hannett, N. M., Zamudio, A. V., Manteiga, J. C., et al. (2018) · Science · doi:10.1126/science.aar3958 · Cited by 2,595
An atlas of active enhancers across human cell types and tissues
The FANTOM Consortium, Andersson, R., Gebhard, C., Miguel-Escalada, I., Hoof, I., Bornholdt, J., Boyd, M., Chen, Y., Zhao, X., Schmidl, C., et al. (2014) · Nature · doi:10.1038/nature12787 · Cited by 2,550
HiC-Pro: an optimized and flexible pipeline for Hi-C data processing.
Servant, N., Varoquaux, N., Lajoie, B. R., Viara, E., Chen, C.-J., Vert, J.-P., Heard, E., Dekker, J., & Barillot, E. (2015) · Genome Biology · doi:10.1186/s13059-015-0831-x · Cited by 2,565
A circadian gene expression atlas in mammals: Implications for biology and medicine
Zhang, R., Lahens, N. F., Ballance, H. I., Hughes, M. E., & Hogenesch, J. B. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1408886111 · Cited by 2,304
Ward, L. D., & Kellis, M. (2012) · Nucleic Acids Research · doi:10.1093/nar/gkr917 · Cited by 2,229
An ultrasensitive method for quantitating circulating tumor DNA with broad patient coverage
Newman, A. M., Bratman, S. V., To, J., Wynne, J. F., Eclov, N. C. W., Modlin, L. A., Liu, C. L., Neal, J. W., Wakelee, H. A., Merritt, R. E., et al. (2014) · Nature Medicine · doi:10.1038/nm.3519 · Cited by 2,220
Formation of chromosomal domains by loop extrusion
Fudenberg, G., Imakaev, M., Lu, C., Goloborodko, A., Abdennur, N., & Mirny, L. A. (2016) · Cell Reports · doi:10.1016/j.celrep.2016.04.085 · Cited by 2,003
Mammalian WTAP is a regulatory subunit of the RNA N6-methyladenosine methyltransferase
Ping, X.-L., Sun, B.-F., Wang, L., Xiao, W., Yang, X., Wang, W.-J., Adhikari, S., Shi, Y., Lv, Y., Chen, Y.-S., et al. (2014) · Cell Research · doi:10.1038/cr.2014.3 · Cited by 2,375
Nanopore sequencing and assembly of a human genome with ultra-long reads
Jain, M., Koren, S., Miga, K. H., Quick, J., Rand, A. C., Sasani, T. A., Tyson, J. R., Beggs, A. D., Dilthey, A. T., Fiddes, I. T., et al. (2018) · Nature Biotechnology · doi:10.1038/nbt.4060 · Cited by 1,892
Self-citationCNVkit: Genome-Wide Copy Number Detection and Visualization from Targeted DNA Sequencing
Talevich, E., Shain, A. H., Botton, T., & Bastian, B. C. (2016) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004873 · Cited by 2,098
Whole-genome analyses resolve early branches in the tree of life of modern birds
Jarvis, E. D., Mirarab, S., Aberer, A. J., Li, B., Houde, P., Li, C., Ho, S. Y. W., Faircloth, B. C., Nabholz, B., Howard, J. T., et al. (2014) · Science · doi:10.1126/science.1253451 · Cited by 1,901
Nora, E. P., Goloborodko, A., Valton, A.-L., Gibcus, J. H., Uebersohn, A., Abdennur, N., Dekker, J., Mirny, L. A., & Bruneau, B. G. (2017) · Cell · doi:10.1016/j.cell.2017.05.004 · Cited by 1,709
Nrf2 suppresses macrophage inflammatory response by blocking proinflammatory cytokine transcription
Kobayashi, E. H., Suzuki, T., Funayama, R., Nagashima, T., Hayashi, M., Sekine, H., Tanaka, N., Moriguchi, T., Motohashi, H., Nakayama, K., et al. (2016) · Nature Communications · doi:10.1038/ncomms11624 · Cited by 1,878
Extensive translation of circular RNAs driven by N6-methyladenosine
Yang, Y., Fan, X., Mao, M., Song, X., Wu, P., Zhang, Y., Jin, Y., Yang, Y., Chen, L.-L., Wang, Y., et al. (2017) · Cell Research · doi:10.1038/cr.2017.31 · Cited by 1,855
Genomic variation in 3,010 diverse accessions of Asian cultivated rice
Wang, W., Mauleon, R., Hu, Z., Chebotarov, D., Tai, S., Wu, Z., Li, M., Zheng, T., Fuentes, R. R., Zhang, F., et al. (2018) · Nature · doi:10.1038/s41586-018-0063-9 · Cited by 1,766
The Landscape of Circular RNA in Cancer
Vo, J. N., Cieslik, M. P., Zhang, Y., Shukla, S. K., Xiao, L., Zhang, Y., Wu, Y., Dhanasekaran, S. M., Engelke, C. G., Cao, X., et al. (2019) · Cell · doi:10.1016/j.cell.2018.12.021 · Cited by 1,745
A genomic mutational constraint map using variation in 76,156 human genomes
Chen, S., Francioli, L. C., Goodrich, J. K., Collins, R. L., Kanai, M., Wang, Q., Alföldi, J., Watts, N. A., Vittal, C., Gauthier, L. D., et al. (2024) · Nature · doi:10.1038/s41586-023-06045-0 · Cited by 1,727
A chromosome conformation capture ordered sequence of the barley genome
Mascher, M., Gundlach, H., Himmelbach, A., Beier, S., Twardziok, S. O., Wicker, T., Radchuk, V., Dockter, C., Hedley, P. E., Russell, J., et al. (2017) · Nature · doi:10.1038/nature22043 · Cited by 1,450
Single-cell transcriptional diversity is a hallmark of developmental potential
Gulati, G. S., Sikandar, S. S., Wesche, D. J., Manjunath, A., Bharadwaj, A., Berger, M. J., Ilagan, F., Kuo, A. H., Hsieh, R. W., Cai, S., et al. (2020) · Science · doi:10.1126/science.aax0249 · Cited by 1,571
m 6 A mRNA methylation facilitates resolution of naïve pluripotency toward differentiation
Geula, S., Moshitch-Moshkovitz, S., Dominissini, D., Mansour, A. A., Kol, N., Salmon‐Divon, M., Hershkovitz, V., Peer, E., Mor, N., Manor, Y. S., et al. (2015) · Science · doi:10.1126/science.1261417 · Cited by 1,583
LUMPY: a probabilistic framework for structural variant discovery
Layer, R. M., Chiang, C., Quinlan, A. R., & Hall, I. M. (2014) · Genome biology · doi:10.1186/gb-2014-15-6-r84 · Cited by 1,544
Self-citationPopulation genomics of Bronze Age Eurasia
Allentoft, M. E., Sikora, M., Sjögren, K.-G., Rasmussen, S., Rasmussen, M., Stenderup, J., Damgaard, P. B., Schroeder, H., Ahlström, T., Vinner, L., et al. (2015) · Nature · doi:10.1038/nature14507 · Cited by 1,550
Saam, J. R., Arnell, C., Theisen, A. P., Moyes, K., Marino, I., Roundy, K. M., & WENSTRUP, R. J. (2015) · Oncology · doi:10.1159/000437307 · Cited by 1,533
Mullins, N., Forstner, A. J., O’Connell, K. S., Coombes, B., Coleman, J. R. I., Qiao, Z., Als, T. D., Bigdeli, T. B., Børte, S., Bryois, J., et al. (2021) · Nature Genetics · doi:10.1038/s41588-021-00857-4 · Cited by 1,517
Landscape of Microsatellite Instability Across 39 Cancer Types
Bonneville, R., Krook, M. A., Kautto, E. A., Miya, J., Wing, M. R., Chen, H., Reeser, J. W., Yu, L., & Roychowdhury, S. (2017) · JCO Precision Oncology · doi:10.1200/po.17.00073 · Cited by 1,505
Association analysis identifies 65 new breast cancer risk loci
Michailidou, K., Lindström, S., Dennis, J., Beesley, J., Hui, S., Kar, S., Lemaçon, A., Soucy, P., Glubb, D. M., Rostamianfar, A., et al. (2017) · Nature · doi:10.1038/nature24284 · Cited by 1,380
Small-molecule inhibition of METTL3 as a strategy against myeloid leukaemia
Yankova, E., Blackaby, W., Albertella, M. R., Rak, J. M., Braekeleer, E. D., Tsagkogeorga, G., Pilka, E. S., Aspris, D., Leggate, D., Hendrick, A. G., et al. (2021) · Nature · doi:10.1038/s41586-021-03536-w · Cited by 1,391
A rapid and robust method for single cell chromatin accessibility profiling
Chen, X., Miragaia, R. J., Natarajan, K. N., & Teichmann, S. A. (2018) · Nature Communications · doi:10.1038/s41467-018-07771-0 · Cited by 1,147
CEL-seq: single-cell RNA-seq by multiplexed linear amplification
Hashimshony, T., Wagner, F., Sher, N., & Yanai, I. (2012) · Cell Reports · doi:10.1016/j.celrep.2012.08.003 · Cited by 1,231
Araport11: a complete reannotation of the Arabidopsis thaliana reference genome
Cheng, C., Krishnakumar, V., Chan, A. P.-Y., Thibaud‐Nissen, F., Schobel, S., & Town, C. D. (2016) · The Plant Journal · doi:10.1111/tpj.13415 · Cited by 1,329
The human transcriptome across tissues and individuals
Melé, M., Ferreira, P. G., Reverter, F., DeLuca, D. S., Monlong, J., Sammeth, M., Young, T. R., Goldmann, J. M., Pervouchine, D. D., Sullivan, T. J., et al. (2015) · Science · doi:10.1126/science.aaa0355 · Cited by 1,304
A complete bacterial genome assembled de novo using only nanopore sequencing data
Loman, N. J., Quick, J., & Simpson, J. T. (2015) · Nature Methods · doi:10.1038/nmeth.3444 · Cited by 1,272
N6-methyladenosine modification destabilizes developmental regulators in embryonic stem cells
Wang, Y., Li, Y., Toth, J. I., Petroski, M. D., Zhang, Z., & Zhao, J. C. (2014) · Nature Cell Biology · doi:10.1038/ncb2902 · Cited by 1,296
Next-Generation Sequencing Technology: Current Trends and Advancements
Satam, H., Joshi, K., Mangrolia, U., Waghoo, S., Zaidi, G., Rawool, S., Thakare, R. P., Banday, S., Mishra, A. K., Das, G., et al. (2023) · Biology · doi:10.3390/biology12070997 · Cited by 1,299
GeneHancer: genome-wide integration of enhancers and target genes in GeneCards
Fishilevich, S., Nudel, R., Rappaport, N., Hadar, R., Plaschkes, I., Stein, T. I., Rosen, N., Kohn, A., Twik, M., Safran, M., et al. (2017) · Database · doi:10.1093/database/bax028 · Cited by 1,270
Benchmark and integration of resources for the estimation of human transcription factor activities
Garcia-Alonso, L., Holland, C. H., Ibrahim, M. M., Turei, D., & Saez-Rodriguez, J. (2019) · Genome Research · doi:10.1101/gr.240663.118 · Cited by 1,122
Multiplex single-cell profiling of chromatin accessibility by combinatorial cellular indexing
Cusanovich, D. A., Daza, R., Adey, A., Pliner, H. A., Christiansen, L., Gunderson, K. L., Steemers, F. J., Trapnell, C., & Shendure, J. (2015) · Science · doi:10.1126/science.aab1601 · Cited by 1,248
Transcriptome-wide isoform-level dysregulation in ASD, schizophrenia, and bipolar disorder
Gandal, M. J., Zhang, P., Hadjimichael, E., Walker, R. L., Chen, C., Liu, S., Won, H., van Bakel, H., Varghese, M., Wang, Y., et al. (2018) · Science · doi:10.1126/science.aat8127 · Cited by 1,247
A draft human pangenome reference.
Liao, W.-W., Asri, M., Ebler, J., Doerr, D., Haukness, M., Hickey, G., Lu, S., Lucas, J. K., Monlong, J., Abel, H. J., et al. (2023) · Nature · doi:10.1038/s41586-023-05896-x · Cited by 1,129
Mapping the Human miRNA Interactome by CLASH Reveals Frequent Noncanonical Binding
Helwak, A., Kudla, G., Dudnakova, T., & Tollervey, D. (2013) · Cell · doi:10.1016/j.cell.2013.03.043 · Cited by 1,269
Shankman, L. S., Gomez, D., Cherepanova, O. A., Salmon, M., Alencar, G. F., Haskins, R. M., Swiatlowska, P., Newman, A. A. C., Greene, E. S., Straub, A. C., et al. (2015) · Nature Medicine · doi:10.1038/nm.3866 · Cited by 1,218
YTHDC1 mediates nuclear export of N6-methyladenosine methylated mRNAs
Roundtree, I. A., Luo, G., Zhang, Z. S., Wang, X., Zhou, T., Cui, Y., Sha, J., Huang, X., Guerrero, L., Xie, P., et al. (2017) · eLife · doi:10.7554/elife.31311 · Cited by 1,235
BCG Educates Hematopoietic Stem Cells to Generate Protective Innate Immunity against Tuberculosis
Kaufmann, E., Sanz, J., Dunn, J. L., Khan, N., Mendonça, L. E., Pacis, A., Tzelepis, F., Pernet, E., Dumaine, A., Grenier, J.-C., et al. (2018) · Cell · doi:10.1016/j.cell.2017.12.031 · Cited by 1,191
Zhao, X., Yang, Y., Sun, B.-F., Shi, Y. X., Yang, X., Xiao, W., Hao, Y.-J., Ping, X., Chen, Y., Wang, W., et al. (2014) · Cell Research · doi:10.1038/cr.2014.151 · Cited by 1,201
Local regulation of gene expression by lncRNA promoters, transcription and splicing
Engreitz, J. M., Haines, J. E., Perez, E. M., Munson, G., Chen, J., Kane, M., McDonel, P. E., Guttman, M., & Lander, E. S. (2016) · Nature · doi:10.1038/nature20149 · Cited by 1,253
Mosdepth: quick coverage calculation for genomes and exomes
Pedersen, B. S., & Quinlan, A. R. (2017) · Bioinformatics · doi:10.1093/bioinformatics/btx699 · Cited by 1,149
Self-citationGenetic and functional drivers of diffuse large B cell lymphoma
Reddy, A., Zhang, J., Davis, N. S., Moffitt, A. B., Love, C. L., Waldrop, A., Leppa, S., Pasanen, A., Meriranta, L., Karjalainen-Lindsberg, M.-L., et al. (2017) · Cell · doi:10.1016/j.cell.2017.09.027 · Cited by 1,104
Purge Haplotigs: allelic contig reassignment for third-gen diploid genome assemblies
Roach, M. J., Schmidt, S. A., & Borneman, A. R. (2018) · BMC Bioinformatics · doi:10.1186/s12859-018-2485-7 · Cited by 1,128
FOXG1-Dependent Dysregulation of GABA/Glutamate Neuron Differentiation in Autism Spectrum Disorders
Mariani, J., Coppola, G., Zhang, P., Abyzov, A., Provini, L., Tomasini, L., Amenduni, M., Szekely, A., Palejev, D., Wilson, M., et al. (2015) · Cell · doi:10.1016/j.cell.2015.06.034 · Cited by 1,149
Biogeography and individuality shape function in the human skin metagenome
Program, N. C. S., Oh, J., Byrd, A. L., Deming, C., Conlan, S., Kong, H. H., & Segre, J. A. (2014) · Nature · doi:10.1038/nature13786 · Cited by 1,148
Detecting DNA cytosine methylation using nanopore sequencing
Simpson, J. T., Workman, R. E., Zuzarte, P. C., David, M., Dursi, L. J., & Timp, W. (2017) · Nature Methods · doi:10.1038/nmeth.4184 · Cited by 1,149
5-methylcytosine promotes mRNA export — NSUN2 as the methyltransferase and ALYREF as an m5C reader
Yang, X., Yang, Y., Sun, B., Chen, Y., Xu, J., Lai, W., Li, A., Wang, X., Bhattarai, D. P., Xiao, W., et al. (2017) · Cell Research · doi:10.1038/cr.2017.55 · Cited by 1,141
Genome-Wide Quantitative Enhancer Activity Maps Identified by STARR-seq
Arnold, C. D., Gerlach, D., Stelzer, C., Boryń, Ł. M., Rath, M., & Stark, A. (2013) · Science · doi:10.1126/science.1232542 · Cited by 1,125
Highly parallel direct RNA sequencing on an array of nanopores
Garalde, D. R., Snell, E. A., Jachimowicz, D., Sipos, B., Lloyd, J. H., Bruce, M., Pantic, N., Admassu, T., James, P. L., Warland, A., et al. (2018) · Nature Methods · doi:10.1038/nmeth.4577 · Cited by 1,094
The whole-genome landscape of medulloblastoma subtypes
Northcott, P. A., Buchhalter, I., Morrissy, A. S., Hovestadt, V., Weischenfeldt, J., Ehrenberger, T., Gröbner, S., Segura-Wang, M., Zichner, T., Rudneva, V. A., et al. (2017) · Nature · doi:10.1038/nature22973 · Cited by 1,112
Repetitive Elements May Comprise Over Two-Thirds of the Human Genome
de Koning, A. P. J., Gu, W., Castoe, T. A., Batzer, M. A., & Pollock, D. D. (2011) · PLoS Genetics · doi:10.1371/journal.pgen.1002384 · Cited by 1,149
Zhou, Z., Jiang, Y., Wang, Z., Gou, Z., Lyu, J., Li, W., Yu, Y., Shu, L., Zhao, Y., Ma, Y., et al. (2015) · Nature Biotechnology · doi:10.1038/nbt.3096 · Cited by 1,119
Cross-tissue organization of the fibroblast lineage
Buechler, M. B., Pradhan, R., Krishnamurty, A. T., Cox, C. B., Calviello, A. K., Wang, A. W., Yang, Y. A., Tam, L., Caothien, R. H., Roose‐Girma, M., et al. (2021) · Nature · doi:10.1038/s41586-021-03549-5 · Cited by 1,100
Byrska-Bishop, M., Evani, U. S., Zhao, X., Basile, A. O., Abel, H. J., Regier, A. A., Corvelo, A., Clarke, W. E., Musunuri, R., Nagulapalli, K., et al. (2022) · Cell · doi:10.1016/j.cell.2022.08.004 · Cited by 1,094
Self-citationThe U6 snRNA m 6 A Methyltransferase METTL16 Regulates SAM Synthetase Intron Retention
Pendleton, K. E., Chen, B., Liu, K., Hunter, O. V., Xie, Y., Tu, B. P., & Conrad, N. K. (2017) · Cell · doi:10.1016/j.cell.2017.05.003 · Cited by 1,115
Promoter-bound METTL3 maintains myeloid leukaemia by m6A-dependent translation control
Barbieri, I., Tzelepis, K., Pandolfini, L., Shi, J., Millán-Zambrano, G., Robson, S. C., Aspris, D., Migliori, V., Bannister, A. J., Han, N., et al. (2017) · Nature · doi:10.1038/nature24678 · Cited by 1,098
CRISPR Inversion of CTCF Sites Alters Genome Topology and Enhancer/Promoter Function
Guo, Y., Xu, Q., Canzio, D., Shou, J., Li, J., Gorkin, D. U., Jung, I., Wu, H., Zhai, Y., Tang, Y., et al. (2015) · Cell · doi:10.1016/j.cell.2015.07.038 · Cited by 958
Thakore, P. I., D'Ippolito, A. M., Song, L., Safi, A., Shivakumar, N. K., Kabadi, A. M., Reddy, T. E., Crawford, G. E., & Gersbach, C. A. (2015) · Nature Methods · doi:10.1038/nmeth.3630 · Cited by 1,012
Organization of Chromatin by Intrinsic and Regulated Phase Separation
Gibson, B. A., Doolittle, L. K., Schneider, M. W. G., Jensen, L. E., Gamarra, N. I., Henry, L., Gerlich, D. W., Redding, S., & Rosen, M. K. (2019) · Cell · doi:10.1016/j.cell.2019.08.037 · Cited by 1,080
Genetic compensation triggered by mutant mRNA degradation
El-Brolosy, M. A., Kontarakis, Z., Rossi, A., Kuenne, C., Günther, S., Fukuda, N., Kikhi, K., Boezio, G. L. M., Takacs, C. M., Lai, S.-L., et al. (2019) · Nature · doi:10.1038/s41586-019-1064-z · Cited by 1,028
Koike-Yusa, H., Li, Y., Tan, E.-P., Velasco-Herrera, M. D. C., & Yusa, K. (2014) · Nature Biotechnology · doi:10.1038/nbt.2800 · Cited by 1,064
O'Connell, R. J., Thon, M. R., Hacquard, S., Amyotte, S. G., Kleemann, J., Torres, M. F., Damm, U., Buiate, E. A., Epstein, L., Alkan, N., et al. (2012) · Nature Genetics · doi:10.1038/ng.2372 · Cited by 1,047
YY1 Is a Structural Regulator of Enhancer-Promoter Loops
Weintraub, A. S., Li, C. H., Zamudio, A. V., Sigova, A. A., Hannett, N. M., Day, D. S., Abraham, B. J., Cohen, M. A., Nabet, B., Buckley, D. L., et al. (2017) · Cell · doi:10.1016/j.cell.2017.11.008 · Cited by 992
BamTools: a C++ API and toolkit for analyzing and managing BAM files
Barnett, D. W., Garrison, E. K., Quinlan, A. R., Strömberg, M. P., & Marth, G. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr174 · Cited by 997
Self-citationClonal evolution in breast cancer revealed by single nucleus genome sequencing
Wang, Y., Waters, J., Leung, M. L., Unruh, A., Roh, W., Shi, X., Chen, K., Scheet, P., Vattathil, S., Liang, H., et al. (2014) · Nature · doi:10.1038/nature13600 · Cited by 1,029
Horlbeck, M. A., Gilbert, L. A., Villalta, J. E., Adamson, B., Pak, R. A., Chen, Y., Fields, A. P., Park, C. Y., Corn, J. E., Kampmann, M., et al. (2016) · eLife · doi:10.7554/elife.19760 · Cited by 894
The dynamic N1-methyladenosine methylome in eukaryotic messenger RNA
Dominissini, D., Nachtergaele, S., Moshitch-Moshkovitz, S., Peer, E., Kol, N., Ben-Haim, M. S., Dai, Q., Segni, A. D., Salmon‐Divon, M., Clark, W. C., et al. (2016) · Nature · doi:10.1038/nature16998 · Cited by 1,047
DNA methylation aging clocks: challenges and recommendations
Bell, C. G., Lowe, R., Adams, P. D., Baccarelli, A. A., Beck, S., Bell, J. T., Christensen, B. C., Gladyshev, V. N., Heijmans, B. T., Horvath, S., et al. (2019) · Genome Biology · doi:10.1186/s13059-019-1824-y · Cited by 1,025
The transcriptional landscape of polyploid wheat
Ramírez-González, R. H., Borrill, P., Lang, D., Harrington, S. A., Brinton, J., Venturini, L., Davey, M. W., Jacobs, J. J. M. R., Ex, F. V., Pasha, A., et al. (2018) · Science · doi:10.1126/science.aar6089 · Cited by 1,022
Insights into human genetic variation and population history from 929 diverse genomes
Bergström, A., McCarthy, S. A., Hui, R., Almarri, M. A., Ayub, Q., Danecek, P., Chen, Y., Felkel, S., Hallast, P., Kamm, J., et al. (2020) · Science · doi:10.1126/science.aay5012 · Cited by 1,020
BEDOPS: high-performance genomic feature operations
Neph, S. J., Kuehn, M. S., Reynolds, A. P., Haugen, E., Thurman, R. E., Johnson, A., Rynes, E., Maurano, M. T., Vierstra, J. D., Thomas, S., et al. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts277 · Cited by 971
An atlas of human long non-coding RNAs with accurate 5′ ends
Hon, C.-C., Ramilowski, J. A., Harshbarger, J., Bertin, N., Rackham, O. J. L., Gough, J., Denisenko, E., Schmeier, S., Poulsen, T. M., Severin, J., et al. (2017) · Nature · doi:10.1038/nature21374 · Cited by 1,007
High-resolution TADs reveal DNA sequences underlying genome organization in flies
Ramírez, F., Bhardwaj, V., Arrigoni, L., Lam, K. C., Grüning, B. A., Villaveces, J. M., Habermann, B. H., Akhtar, A., & Manke, T. (2018) · Nature Communications · doi:10.1038/s41467-017-02525-w · Cited by 993
The CRISPR-associated DNA-cleaving enzyme Cpf1 also processes precursor CRISPR RNA
Fonfara, I., Richter, H., Bratovič, M., Le Rhun, A., & Charpentier, E. (2016) · Nature · doi:10.1038/nature17945 · Cited by 988
The epigenetic landscape of T cell exhaustion
Sen, D. R., Kaminski, J., Barnitz, R. A., Kurachi, M., Gerdemann, U., Yates, K. B., Tsao, H.-W., Godec, J., LaFleur, M. W., Brown, F. D., et al. (2016) · Science · doi:10.1126/science.aae0491 · Cited by 986
RNA-Methylation-Dependent RNA Processing Controls the Speed of the Circadian Clock
Fustin, J., Doi, M., Yamaguchi, Y., Hayashi, H., Nishimura, S., Yoshida, M., Isagawa, T., Morioka, M. S., Kakeya, H., Manabe, I., et al. (2013) · Cell · doi:10.1016/j.cell.2013.10.026 · Cited by 980
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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