The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“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
The cited source says what the claim attributes to it.
In the citing paper
“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]
The cited source says what the claim attributes to it.
In the citing paper
“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]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
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
Flagged first, then by citations
Research works printed but not linked: 1
- Smit, 1996, RepeatMasker. Open-3.0.
Cited by
Sorted by citations
Items 1,001–1,100 of 1,295
The variation and evolution of complete human centromeres
Logsdon, G. A., Rozanski, A. N., Ryabov, F., Potapova, T., Shepelev, V. A., Catacchio, C. R., Porubskỳ, D., Mao, Y., Yoo, D., Rautiainen, M., et al. (2024) · Nature · doi:10.1038/s41586-024-07278-3 · Cited by 207
Pandey, S., Gao, X. D., Krasnow, N. A., McElroy, A. N., Tao, Y., Duby, J. E., Steinbeck, B. J., McCreary, J., Pierce, S. E., Tolar, J., et al. (2024) · Nature Biomedical Engineering · doi:10.1038/s41551-024-01227-1 · Cited by 218
Discovery of target genes and pathways at GWAS loci by pooled single-cell CRISPR screens
Morris, J. A., Caragine, C., Daniloski, Z., Domingo, J., Barry, T., Lu, L., Davis, K., Ziosi, M., Glinos, D. A., Hao, S., et al. (2023) · Science · doi:10.1126/science.adh7699 · Cited by 208
The myokine decorin is regulated by contraction and involved in muscle hypertrophy
Kanzleiter, T., Rath, M., Görgens, S. W., Jensen, J., Tangen, D. S., Kolnes, A. J., Kolnes, K. J., Lee, S., Eckel, J., Schürmann, A., et al. (2014) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2014.06.123 · Cited by 209
Herrmann, C., de Sande, B. V., Potier, D., & Aerts, S. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks543 · Cited by 211
Global DNA Methylation Remodeling Accompanies CD8 T Cell Effector Function
Scharer, C. D., Barwick, B. G., Youngblood, B., Ahmed, R., & Boss, J. M. (2013) · The Journal of Immunology · doi:10.4049/jimmunol.1301395 · Cited by 212
DAF-16 employs the chromatin remodeller SWI/SNF to promote stress resistance and longevity
Riedel, C. G., Dowen, R. H., Lourenco, G. F., Kirienko, N. V., Heimbucher, T., West, J. A., Bowman, S. K., Kingston, R. E., Dillin, A., Asara, J. M., et al. (2013) · Nature Cell Biology · doi:10.1038/ncb2720 · Cited by 207
Genomic legacy of the African cheetah, Acinonyx jubatus
Dobrynin, P., Liu, S., Tamazian, G., Xiong, Z., Yurchenko, A. A., Krasheninnikova, K., Kliver, S., Schmidt-Küntzel, A., Koepfli, K.-P., Johnson, W., et al. (2015) · Genome Biology · doi:10.1186/s13059-015-0837-4 · Cited by 204
Ribose-Map: a bioinformatics toolkit to map ribonucleotides embedded in genomic DNA
Gombolay, A. L., Vannberg, F. O., & Storici, F. (2019) · Nucleic Acids Research · doi:10.1093/nar/gky874 · Cited by 204
A TCF4-dependent gene regulatory network confers resistance to immunotherapy in melanoma
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
Human Genome Structural Variation Consortium, Porubsky, D., Ebert, P., Audano, P. A., Vollger, M. R., Harvey, W. T., Marijon, P., Ebler, J., Munson, K. M., Sorensen, M., et al. (2021) · Nature Biotechnology · doi:10.1038/s41587-020-0719-5 · Cited by 203
cGAS-mediated induction of type I interferon due to inborn errors of histone pre-mRNA processing
Uggenti, C., Lepelley, A., Depp, M., Badrock, A. P., Rodero, M. P., El-Daher, M.-T., Rice, G. I., Dhir, S., Wheeler, A. P., Dhir, A., et al. (2020) · Nature Genetics · doi:10.1038/s41588-020-00737-3 · Cited by 192
Kazachenka, A., Bertozzi, T. M., Sjoberg-Herrera, M. K., Walker, N., Gardner, J., Gunning, R., Pahita, E., Adams, S., Adams, D., & Ferguson-Smith, A. C. (2018) · Cell · doi:10.1016/j.cell.2018.09.043 · Cited by 181
Detecting and correcting systematic variation in large-scale RNA sequencing data
Li, S., Łabaj, P. P., Zumbo, P., Sykacek, P., Shi, W., Shi, L., Phan, J., Wu, P.-Y., Wang, M., Wang, C., et al. (2014) · Nature Biotechnology · doi:10.1038/nbt.3000 · Cited by 175
Morey, L., Aloia, L., Cozzuto, L., Benitah, S. A., & Di Croce, L. (2013) · Cell Reports · doi:10.1016/j.celrep.2012.11.026 · Cited by 201
Watson, C. T., Roussos, P., Garg, P., Ho, D. J., Azam, N., Katsel, P. L., Haroutunian, V., & Sharp, A. J. (2016) · Genome Medicine · doi:10.1186/s13073-015-0258-8 · Cited by 201
Noncoding RNA transcription targets AID to divergently transcribed loci in B cells
Pefanis, E., Wang, J., Rothschild, G., Lim, J., Chao, J., Rabadan, R., Economides, A. N., & Basu, U. (2014) · Nature · doi:10.1038/nature13580 · Cited by 201
The chromatin accessibility signature of human immune aging stems from CD8+ T cells
Ucar, D., Márquez, E. J., Chung, C.-H., Marches, R., Rossi, R. J., Uyar, A., Wu, T.-C., George, J., Stitzel, M. L., Palucka, A. K., et al. (2017) · Journal of Experimental Medicine · doi:10.1084/jem.20170416 · Cited by 200
De Novo Coding Variants Are Strongly Associated with Tourette Disorder
Willsey, A. J., Fernandez, T. V., Yu, D., King, R. A., Dietrich, A., Xing, J., Sanders, S. J., Mandell, J. D., Huang, A. Y., Richer, P., et al. (2017) · Neuron · doi:10.1016/j.neuron.2017.04.024 · Cited by 187
PDXNET Consortium, Woo, X. Y., EurOPDX Consortium, Giordano, J., Srivastava, A., Zhao, Z.-M., Lloyd, M. W., de Bruijn, R., Suh, Y.-S., Patidar, R., et al. (2021) · Nature Genetics · doi:10.1038/s41588-020-00750-6 · Cited by 190
Wang, X., He, L., Goggin, S. M., Saadat, A., Wang, L., Sinnott-Armstrong, N., Claussnitzer, M., & Kellis, M. (2018) · Nature Communications · doi:10.1038/s41467-018-07746-1 · Cited by 159
Spatially resolved epigenomic profiling of single cells in complex tissues
Lu, T., Ang, C. E., & Zhuang, X. (2022) · Cell · doi:10.1016/j.cell.2022.09.035 · Cited by 197
Co-transcriptional splicing regulates 3′ end cleavage during mammalian erythropoiesis
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
2000 Years of Parallel Societies in Stone Age Central Europe
Bollongino, R., Nehlich, O., Richards, M. P., Orschiedt, J., Thomas, M. G., Sell, C., Fajkošová, Z., Powell, A., & Burger, J. (2013) · Science · doi:10.1126/science.1245049 · Cited by 195
Super-enhancers include classical enhancers and facilitators to fully activate gene expression
Blayney, J. W., Francis, H., Rampasekova, A., Camellato, B., Mitchell, L., Stolper, R., Cornell, L., Babbs, C., Boeke, J. D., Higgs, D. R., et al. (2023) · Cell · doi:10.1016/j.cell.2023.11.030 · Cited by 196
Genome-wide, integrative analysis implicates microRNA dysregulation in autism spectrum disorder
Wu, Y. E., Parikshak, N. N., Belgard, T. G., & Geschwind, D. H. (2016) · Nature Neuroscience · doi:10.1038/nn.4373 · Cited by 195
Functional enhancer elements drive subclass-selective expression from mouse to primate neocortex
Mich, J. K., Graybuck, L. T., Hess, E. E., Mahoney, J. T., Kojima, Y., Ding, Y., Somasundaram, S., Miller, J. A., Kalmbach, B. E., Radaelli, C., et al. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.108754 · Cited by 193
Histone variant H2A.J accumulates in senescent cells and promotes inflammatory gene expression
Contrepois, K., Coudereau, C., Benayoun, B. A., Schuler, N., Roux, P.-F., Bischof, O., Courbeyrette, R., Carvalho, C., Thuret, J.-Y., Ma, Z., et al. (2017) · Nature Communications · doi:10.1038/ncomms14995 · Cited by 191
Autophagy Regulation of Metabolism Is Required for CD8+ T Cell Anti-tumor Immunity
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
Pan-cancer analysis identifies tumor-specific antigens derived from transposable elements
Shah, N. M., Jang, H. J., Liang, Y., Maeng, J. H., Tzeng, S.-C., Wu, A., Basri, N. L., Qu, X., Fan, C., Li, A., et al. (2023) · Nature Genetics · doi:10.1038/s41588-023-01349-3 · Cited by 175
Genomic characterization of a novel SARS-CoV-2 lineage from Rio de Janeiro, Brazil
Voloch, C. M., Silva F, R. D., de Almeida, L. G. P., Cardoso, C. C., Brustolini, O. J., Gerber, A. L., Guimarães, A. P. D. C., Mariani, D., Costa, R. M. D., Ferreira, O. C., et al. (2020) · doi:10.1101/2020.12.23.20248598 · Cited by 372
DNA methylation enables transposable element-driven genome expansion
Zhou, W., Liang, G., Molloy, P. L., & Jones, P. A. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1921719117 · Cited by 181
A Comprehensive Mouse Transcriptomic BodyMap across 17 Tissues by RNA-seq
Li, B., Qing, T., Zhu, J., Wen, Z., Yu, Y., Fukumura, R., Zheng, Y., Gondo, Y., & Shi, L. (2017) · Scientific Reports · doi:10.1038/s41598-017-04520-z · Cited by 184
Mutations in SLC12A5 in epilepsy of infancy with migrating focal seizures
Stödberg, T., McTague, A., Ruiz, A. J., Hirata, H., Zhen, J., Long, P., Farabella, I., Meyer, E., Kawahara, A., Vassallo, G., et al. (2015) · Nature Communications · doi:10.1038/ncomms9038 · Cited by 184
An atlas of gene regulatory elements in adult mouse cerebrum
Li, Y. E., Preissl, S., Hou, X., Zhang, Z., Zhang, K., Qiu, Y., Poirion, O. B., Li, B., Chiou, J., Liu, H., et al. (2021) · Nature · doi:10.1038/s41586-021-03604-1 · Cited by 185
Pendleton, A. L., Shen, F., Taravella, A. M., Emery, S., Veeramah, K. R., Boyko, A. R., & Kidd, J. M. (2018) · BMC Biology · doi:10.1186/s12915-018-0535-2 · Cited by 156
DNA methylation in lung cells is associated with asthma endotypes and genetic risk
Nicodemus-Johnson, J., Myers, R. A., Sakabe, N. J., Sobreira, D. R., Hogarth, D. K., Naureckas, E. T., Sperling, A. I., Solway, J., White, S. R., Nobrega, M. A., et al. (2016) · JCI Insight · doi:10.1172/jci.insight.90151 · Cited by 180
The transcription factor ZEB2 drives the formation of age-associated B cells
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
FOXA2 drives lineage plasticity and KIT pathway activation in neuroendocrine prostate cancer
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
Reorganization of chromosome architecture in replicative cellular senescence
Criscione, S. W., De Cecco, M., Siranosian, B., Zhang, Y., Kreiling, J. A., Sedivy, J. M., & Neretti, N. (2016) · Science Advances · doi:10.1126/sciadv.1500882 · Cited by 164
Arnold, C. D., Gerlach, D., Spies, D., Matts, J. A., Sytnikova, Y. A., Pagani, M., Lau, N. C., & Stark, A. (2014) · Nature Genetics · doi:10.1038/ng.3009 · Cited by 175
Henzler, C., Li, Y., Yang, R., McBride, T., Ho, Y., Sprenger, C., Liu, G., Coleman, I., Lakely, B., Li, R., et al. (2016) · Nature Communications · doi:10.1038/ncomms13668 · Cited by 173
A comparative atlas of single-cell chromatin accessibility in the human brain
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
Karcher, N., Nigro, E., Punčochář, M., Blanco-Míguez, A., Ciciani, M., Manghi, P., Zolfo, M., Cumbo, F., Manara, S., Golzato, D., et al. (2021) · Genome Biology · doi:10.1186/s13059-021-02427-7 · Cited by 159
Sultana, T., van Essen, D., Siol, O., Bailly-Bechet, M., Philippe, C., Zine El Aabidine, A., Pioger, L., Nigumann, P., Saccani, S., Andrau, J.-C., et al. (2019) · Molecular Cell · doi:10.1016/j.molcel.2019.02.036 · Cited by 154
Delacher, M., Simon, M., Sanderink, L., Hotz-Wagenblatt, A., Wuttke, M., Schambeck, K., Schmidleithner, L., Bittner, S., Pant, A., Ritter, U., et al. (2021) · Immunity · doi:10.1016/j.immuni.2021.03.007 · Cited by 164
Transcriptional response to stress is pre-wired by promoter and enhancer architecture
Vihervaara, A., Mahat, D. B., Guertin, M. J., Chu, T., Danko, C. G., Lis, J. T., & Sistonen, L. (2017) · Nature Communications · doi:10.1038/s41467-017-00151-0 · Cited by 164
Bridge RNAs direct programmable recombination of target and donor DNA
Durrant, M. G., Perry, N. T., Pai, J. J., Jangid, A. R., Athukoralage, J. S., Hiraizumi, M., McSpedon, J. P., Pawluk, A., Nishimasu, H., Konermann, S., et al. (2024) · Nature · doi:10.1038/s41586-024-07552-4 · Cited by 163
Genetic variant effects on gene expression in human pancreatic islets and their implications for T2D
Viñuela, A., Varshney, A., van de Bunt, M., Prasad, R. B., Asplund, O., Bennett, A., Boehnke, M., Brown, A. A., Erdos, M. R., Fadista, J., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-18581-8 · Cited by 152
The HUSH complex is a gatekeeper of type I interferon through epigenetic regulation of LINE-1s
Tunbak, H., Enriquez-Gasca, R., Tie, C. H. C., Gould, P. A., Mlcochova, P., Gupta, R. K., Fernandes, L., Holt, J., van der Veen, A. G., Giampazolias, E., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-19170-5 · Cited by 162
Immediate and deferred epigenomic signatures of in vivo neuronal activation in mouse hippocampus
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
Chen, H., Tian, Y., Shu, W., Bo, X., & Wang, S. (2012) · PLoS ONE · doi:10.1371/journal.pone.0041374 · Cited by 161
FoxO maintains a genuine muscle stem-cell quiescent state until geriatric age
García-Prat, L., Perdiguero, E., Alonso-Martín, S., Dell’Orso, S., Ravichandran, S., Brooks, S. R., Juan, A. H., Campanario, S., Jiang, K., Hong, X., et al. (2020) · Nature Cell Biology · doi:10.1038/s41556-020-00593-7 · Cited by 161
Mellén, M., Ayata, P., & Heintz, N. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1708044114 · Cited by 151
The transcription factor p53: Not a repressor, solely an activator.
Fischer, M., Steiner, L., & Engeland, K. (2014) · Cell Cycle · doi:10.4161/15384101.2014.949083 · Cited by 153
Origins of De Novo Genes in Human and Chimpanzee
Ruiz-Orera, J., Hernandez-Rodriguez, J., Chiva, C., Sabidó, E., Kondova, I., Bontrop, R., Marqués-Bonet, T., & Albà, M. M. (2015) · PLOS Genetics · doi:10.1371/journal.pgen.1005721 · Cited by 160
Francis, A. C., Marin, M., Singh, P. K., Achuthan, V., Prellberg, M. J., Palermino-Rowland, K., Lan, S., Tedbury, P. R., Sarafianos, S. G., Engelman, A. N., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-17256-8 · Cited by 159
IVT-seq reveals extreme bias in RNA sequencing
Lahens, N. F., Kavakli, I. H., Zhang, R., Hayer, K., Black, M. B., Dueck, H., Pizarro, A., Kim, J., Irizarry, R., Thomas, R. S., et al. (2014) · Genome Biology · doi:10.1186/gb-2014-15-6-r86 · Cited by 158
3DSNP: a database for linking human noncoding SNPs to their three-dimensional interacting genes
Lu, Y., Quan, C., Chen, H., Bo, X., & Zhang, C. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkw1022 · Cited by 133
Girdhar, K., Hoffman, G. E., Jiang, Y., Brown, L., Kundakovic, M., Hauberg, M. E., Francoeur, N. J., Wang, Y.-C., Shah, H., Kavanagh, D. H., et al. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0187-0 · Cited by 139
Rodriguez-Meira, A., Norfo, R., Wen, S., Chédeville, A. L., Rahman, H., O’Sullivan, J., Wang, G., Louka, E., Kretzschmar, W. W., Paterson, A., et al. (2023) · Nature Genetics · doi:10.1038/s41588-023-01480-1 · Cited by 158
Dichotomous engagement of HDAC3 activity governs inflammatory responses
Nguyen, H. C. B., Adlanmerini, M., Hauck, A. K., & Lazar, M. A. (2020) · Nature · doi:10.1038/s41586-020-2576-2 · Cited by 150
The genetic and biochemical determinants of mRNA degradation rates in mammals
Agarwal, V., & Kelley, D. R. (2022) · Genome Biology · doi:10.1186/s13059-022-02811-x · Cited by 155
Deletions of chromosomal regulatory boundaries are associated with congenital disease
Ibn-Salem, J., Köhler, S., Love, M. I., Chung, H.-R., Huang, N., Hurles, M. E., Haendel, M., Washington, N. L., Smedley, D., Mungall, C. J., et al. (2014) · Genome Biology · doi:10.1186/s13059-014-0423-1 · Cited by 143
Integrative epigenetic taxonomy of primary prostate cancer
Stelloo, S., Nevedomskaya, E., Kim, Y., Schuurman, K., Valle-Encinas, E., Lobo, J., Krijgsman, O., Peeper, D. S., Chang, S. L., Feng, F. Y.-C., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-07270-2 · Cited by 154
Targeting Piezo1 unleashes innate immunity against cancer and infectious disease
Aykut, B., Chen, R., Kim, J. I., Wu, D., Shadaloey, S. A. A., Abengozar, R., Preiss, P., Saxena, A., Pushalkar, S., Leinwand, J., et al. (2020) · Science Immunology · doi:10.1126/sciimmunol.abb5168 · Cited by 154
Grosso, A. R., Leite, A. P., Carvalho, S., Matos, M. R., Martins, F. B., Vítor, A. C., Desterro, J. M., Carmo-Fonseca, M., & de Almeida, S. F. (2015) · eLife · doi:10.7554/elife.09214 · Cited by 152
Hoss, A. G., Labadorf, A., Latourelle, J. C., Kartha, V. K., Hadzi, T. C., Gusella, J. F., MacDonald, M. E., Chen, J.-F., Akbarian, S., Weng, Z., et al. (2015) · BMC Medical Genomics · doi:10.1186/s12920-015-0083-3 · Cited by 151
Feichtinger, J., Hernández, I., Fischer, C., Hanscho, M., Auer, N., Hackl, M., Jadhav, V., Baumann, M., Krempl, P. M., Schmidl, C., et al. (2016) · Biotechnology and Bioengineering · doi:10.1002/bit.25990 · Cited by 148
Rendeiro, A. F., Schmidl, C., Strefford, J. C., Walewska, R., Davis, Z., Farlik, M., Oscier, D., & Bock, C. (2016) · Nature Communications · doi:10.1038/ncomms11938 · Cited by 146
Feng, C., Song, C., Liu, Y., Qian, F., Gao, Y., Ning, Z., Wang, Q., Jiang, Y., Li, Y., Li, M., et al. (2020) · Nucleic Acids Research · doi:10.1093/nar/gkz881 · Cited by 147
Click chemistry enables preclinical evaluation of targeted epigenetic therapies
Tyler, D. S., Vappiani, J., Cañeque, T., Lam, E. Y. N., Ward, A., Gilan, O., Chan, Y.-C., Hienzsch, A., Rutkowska, A., Werner, T., et al. (2017) · Science · doi:10.1126/science.aal2066 · Cited by 146
Combined mutation in Vhl, Trp53 and Rb1 causes clear cell renal cell carcinoma in mice
Harlander, S., Schönenberger, D., Toussaint, N. C., Prummer, M., Catalano, A., Brandt, L., Moch, H., Wild, P. J., & Frew, I. J. (2017) · Nature Medicine · doi:10.1038/nm.4343 · Cited by 143
Blumenthal, I., Ragavendran, A., Erdin, S., Klei, L., Sugathan, A., Guide, J. R., Manavalan, P., Zhou, J. Q., Wheeler, V. C., Levin, J. Z., et al. (2014) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2014.05.004 · Cited by 145
Improved plant cytosine base editors with high editing activity, purity, and specificity
Ren, Q., Sretenovic, S., Liu, G., Zhong, Z., Wang, J., Huang, L., Tang, X., Guo, Y., Liu, L., Wu, Y., et al. (2021) · Plant Biotechnology Journal · doi:10.1111/pbi.13635 · Cited by 131
Yost, S., Stashenko, P., Choi, Y., Kukuruzinska, M., Genco, C. A., Salama, A., Weinberg, E. O., Kramer, C. D., & Frias-Lopez, J. (2018) · International Journal of Oral Science · doi:10.1038/s41368-018-0037-7 · Cited by 144
ZnuA and zinc homeostasis in Pseudomonas aeruginosa
Pederick, V. G., Eijkelkamp, B. A., Begg, S. L., Ween, M. P., McAllister, L. J., Paton, J. C., & McDevitt, C. A. (2015) · Scientific Reports · doi:10.1038/srep13139 · Cited by 138
Adeno-to-squamous transition drives resistance to KRAS inhibition in LKB1 mutant lung cancer
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
The rise and fall of African rice cultivation revealed by analysis of 246 new genomes
Cubry, P., Tranchant-Dubreuil, C., Thuillet, A.-C., Monat, C., Ndjiondjop, M.-N., Labadie, K., Cruaud, C., Engelen, S., Scarcelli, N., Rhoné, B., et al. (2018) · Current Biology · doi:10.1016/j.cub.2018.05.066 · Cited by 142
Machine-guided design of cell-type-targeting cis-regulatory elements
Gosai, S. J., Castro, R. I., Fuentes, N., Butts, J. C., Mouri, K., Alasoadura, M., Kales, S., Nguyen, T. T. L., Noche, R. R., Rao, A. S., et al. (2024) · Nature · doi:10.1038/s41586-024-08070-z · Cited by 142
SNES: single nucleus exome sequencing
Leung, M. L., Wang, Y., Waters, J., & Navin, N. E. (2015) · Genome Biology · doi:10.1186/s13059-015-0616-2 · Cited by 112
Stable Polycomb-dependent transgenerational inheritance of chromatin states in Drosophila
Ciabrelli, F., Comoglio, F., Fellous, S., Bonev, B., Ninova, M., Szabo, Q., Xuéreb, A., Klopp, C., Aravin, A., Paro, R., et al. (2017) · Nature Genetics · doi:10.1038/ng.3848 · Cited by 129
Heterogeneity and interplay of the extracellular vesicle small RNA transcriptome and proteome
Sork, H., Corso, G., Krjutskov, K., Johansson, H. J., Nordin, J. Z., Wiklander, O. P. B., Lee, Y. X. F., Westholm, J. O., Lehtiö, J., Wood, M. J. A., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-28485-9 · Cited by 140
SCAF4 and SCAF8, mRNA Anti-Terminator Proteins
Gregersen, L. H., Mitter, R., Ugalde, A. P., Nojima, T., Proudfoot, N. J., Agami, R., Stewart, A., & Svejstrup, J. Q. (2019) · Cell · doi:10.1016/j.cell.2019.04.038 · Cited by 140
Dnmt3a restrains mast cell inflammatory responses
Leoni, C., Montagner, S., Rinaldi, A., Bertoni, F., Polletti, S., Balestrieri, C., & Monticelli, S. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1616420114 · Cited by 138
High-Resolution Epigenomic Atlas of Human Embryonic Craniofacial Development
Wilderman, A., VanOudenhove, J., Kron, J., Noonan, J. P., & Cotney, J. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.03.129 · Cited by 139
Transcriptomic analyses reveal rhythmic and CLOCK-driven pathways in human skeletal muscle
Perrin, L., Loizides-Mangold, U., Chanon, S., Gobet, C., Hulo, N., Isenegger, L., Weger, B. D., Migliavacca, E., Charpagne, A., Betts, J. A., et al. (2018) · eLife · doi:10.7554/elife.34114 · Cited by 139
Structural basis for retroviral integration into nucleosomes
Maskell, D. P., Renault, L., Serrao, E., Lesbats, P., Matadeen, R., Hare, S., Lindemann, D., Engelman, A. N., Costa, A., & Cherepanov, P. (2015) · Nature · doi:10.1038/nature14495 · Cited by 138
Popova, T., Manié, E., Boeva, V., Battistella, A., Goundiam, O., Smith, N. K., Mueller, C. R., Raynal, V., Mariani, O., Sastre-Garau, X., et al. (2016) · Cancer Research · doi:10.1158/0008-5472.can-15-2128 · Cited by 130
Insights into the biogenesis and potential functions of exonic circular RNA
Ragan, C., Goodall, G. J., Shirokikh, N. E., & Preiss, T. (2019) · Scientific Reports · doi:10.1038/s41598-018-37037-0 · Cited by 137
Biased Allelic Expression in Human Primary Fibroblast Single Cells
Borel, C., Ferreira, P. G., Santoni, F., Delaneau, O., Fort, A., Popadin, K. Y., Garieri, M., Falconnet, E., Ribaux, P., Guipponi, M., et al. (2015) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2014.12.001 · Cited by 120
DNA methylation in the gene body influences MeCP2-mediated gene repression
Kinde, B., Wu, D. Y., Greenberg, M. E., & Gabel, H. W. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1618737114 · Cited by 118
Minderjahn, J., Schmidt, A., Fuchs, A., Schill, R., Raithel, J., Babina, M., Schmidl, C., Gebhard, C., Schmidhofer, S., Mendes, K., et al. (2020) · Nature Communications · doi:10.1038/s41467-019-13960-2 · Cited by 136
Introns Protect Eukaryotic Genomes from Transcription-Associated Genetic Instability
Bonnet, A., Grosso, A. R., Elkaoutari, A., Coleno, E., Presle, A., Sridhara, S. C., Janbon, G., Géli, V., de Almeida, S. F., & Palancade, B. (2017) · Molecular Cell · doi:10.1016/j.molcel.2017.07.002 · Cited by 135
Beale, M. A., Marks, M., Cole, M. J., Lee, M.-K., Pitt, R., Ruis, C., Balla, E., Crucitti, T., Ewens, M., Fernández-Naval, C., et al. (2021) · Nature Microbiology · doi:10.1038/s41564-021-01000-z · Cited by 135
Recombination between heterologous human acrocentric chromosomes
Guarracino, A., Buonaiuto, S., de Lima, L. G., Potapova, T., Rhie, A., Koren, S., Rubinstein, B., Fischer, C., Human Pangenome Reference Consortium, Abel, H. J., et al. (2023) · Nature · doi:10.1038/s41586-023-05976-y · Cited by 134
Self-citationBioID identifies novel c-MYC interacting partners in cultured cells and xenograft tumors
Dingar, D., Kalkat, M., Chan, P.-K., Srikumar, T., Bailey, S. D., Tu, W. B., Coyaud, E., Ponzielli, R., Kolyar, M., Jurisica, I., et al. (2015) · Journal of Proteomics · doi:10.1016/j.jprot.2014.09.029 · Cited by 131
A unique role for DNA (hydroxy)methylation in epigenetic regulation of human inhibitory neurons
Kozlenkov, A., Li, J., Apontes, P., Hurd, Y. L., Byne, W. M., Koonin, E. V., Wegner, M., Mukamel, E. A., & Dracheva, S. (2018) · Science Advances · doi:10.1126/sciadv.aau6190 · Cited by 103
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
Genome-wide de novo L1 Retrotransposition Connects Endonuclease Activity with Replication
Flasch, D. A., Macia, Á., Sánchez, L., Ljungman, M., Heras, S. R., García-Pérez, J. L., Wilson, T. E., & Moran, J. V. (2019) · Cell · doi:10.1016/j.cell.2019.02.050 · Cited by 127
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review