The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Ultrafast and memory-efficient alignment of short DNA sequences to the human genome.
Open accessAbstract
Bowtie is an ultrafast, memory-efficient alignment program for aligning short DNA sequence reads to large genomes. For the human genome, Burrows-Wheeler indexing allows Bowtie to align more than 25 million reads per CPU hour with a memory footprint of approximately 1.3 gigabytes. Bowtie extends previous Burrows-Wheeler techniques with a novel quality-aware backtracking algorithm that permits mismatches. Multiple processor cores can be used simultaneously to achieve even greater alignment speeds. Bowtie is open source (http://bowtie.cbcb.umd.edu).
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“To further assess and/or visualize the assembly, we mapped the reads onto the final assembled transcripts using the Bowtie program [27] available at the Galaxy website (http://main.g2.bx.psu.edu/) [23]–[25].”
From Digital Gene Expression Analysis Based on Integrated De Novo Transcriptome Assembly of Sweet Potato [Ipomoea batatas (L.) Lam.] (2012) · cites this paper as [27]
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“Mapping reads to specific genes is relatively straightforward with the bioinformatics tools available today [10-13], but using these tools to distinguish between reads derived from alternative alleles of the same gene remains challenging [9].”
From Sources of bias in measures of allele-specific expression derived from RNA-seq data aligned to a single reference genome (2013) · cites this paper as [10]
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Citations
Cites
Identification of common molecular subsequences
Smith, T. F., & Waterman, M. S. (1981) · Journal of Molecular Biology · doi:10.1016/0022-2836(81)90087-5 · Cited by 9,962
Base-Calling of Automated Sequencer Traces Using Phred. I. Accuracy AssessmentPreprint
Ewing, B., Hillier, L., Wendl, M. C., & Green, P. (1998) · Genome Research · doi:10.1101/gr.8.3.175 · Cited by 6,993
Base-Calling of Automated Sequencer Traces Using Phred. II. Error Probabilities
Ewing, B., & Green, P. (1998) · Genome Research · doi:10.1101/gr.8.3.186 · Cited by 5,439
Accurate whole human genome sequencing using reversible terminator chemistry
Bentley, D. R., Balasubramanian, S., Swerdlow, H. P., Smith, G. P., Milton, J., Brown, C. G., Hall, K. P., Evers, D. J., Barnes, C. L., Bignell, H. R., et al. (2008) · Nature · doi:10.1038/nature07517 · Cited by 3,684
SOAP: Short oligonucleotide alignment program
Li, R., Li, Y., Kristiansen, K., & Wang, J. (2008) · Bioinformatics · doi:10.1093/bioinformatics/btn025 · Cited by 3,597
Genome-Wide Mapping of in Vivo Protein-DNA Interactions
Johnson, D. S., Mortazavi, A., Myers, R. M., & Wold, B. (2007) · Science · doi:10.1126/science.1141319 · Cited by 2,927
RNA-seq: An assessment of technical reproducibility and comparison with gene expression arrays
Marioni, J. C., Mason, C. E., Mane, S. M., Stephens, M., & Gilad, Y. (2008) · Genome Research · doi:10.1101/gr.079558.108 · Cited by 2,771
Mapping short DNA sequencing reads and calling variants using mapping quality scores
Li, H., Ruan, J., & Durbin, R. (2008) · Genome Research · doi:10.1101/gr.078212.108 · Cited by 2,638
The Transcriptional Landscape of the Yeast Genome Defined by RNA Sequencing
Nagalakshmi, U., Wang, Z., Waern, K., Shou, C., Raha, D., Gerstein, M., & Snyder, M. (2008) · Science · doi:10.1126/science.1158441 · Cited by 2,479
A Block-sorting Lossless Data Compression Algorithm
Burrows, M. T., & Wheeler, D. J. (1994) · Cited by 2,333
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Items 1,101–1,200 of 1,327
In vivo targeting of de novo DNA methylation by histone modifications in yeast and mouse
Morselli, M., Pastor, W. A., Montanini, B., Nee, K., Ferrari, R., Fu, K., Bonora, G., Rubbi, L., Clark, A. T., Ottonello, S., et al. (2015) · eLife · doi:10.7554/elife.06205 · Cited by 167
“8 (Langmead et al., 2009) against the sacCer3 genome assembly, allowing up to two mismatches.”
BackgroundMethodEvolution at two levels of gene expression in yeast
Artieri, C. G., & Fraser, H. B. (2014) · Genome Research · doi:10.1101/gr.165522.113 · Cited by 138
Menendez, D., Nguyen, T.-A., Freudenberg, J. M., Mathew, V. J., Anderson, C. W., Jothi, R., & Resnick, M. A. (2013) · Nucleic Acids Research · doi:10.1093/nar/gkt504 · Cited by 154
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
Global Regulation of Promoter Melting in Naive Lymphocytes
Kouzine, F., Wojtowicz, D., Yamane, A., Resch, W., Kieffer-Kwon, K.-R., Bandle, R., Nelson, S., Nakahashi, H., Awasthi, P., Feigenbaum, L., et al. (2013) · Cell · doi:10.1016/j.cell.2013.04.033 · Cited by 154
KrasG12D and Nkx2-1 haploinsufficiency induce mucinous adenocarcinoma of the lung
Maeda, Y., Tsuchiya, T., Hao, H., Tompkins, D. H., Xu, Y., Mucenski, M. L., Du, L., Keiser, A. R., Fukazawa, T., Naomoto, Y., et al. (2012) · Journal of Clinical Investigation · doi:10.1172/jci64048 · Cited by 163
Positively selected enhancer elements endow osteosarcoma cells with metastatic competence
Morrow, J. J., Bayles, I., Funnell, A. P. W., Miller, T. E., Saiakhova, A., Lizardo, M. M., Bartels, C. F., Kapteijn, M. Y., Hung, S., Mendoza, A., et al. (2018) · Nature Medicine · doi:10.1038/nm.4475 · Cited by 161
Chen, H., Tian, Y., Shu, W., Bo, X., & Wang, S. (2012) · PLoS ONE · doi:10.1371/journal.pone.0041374 · Cited by 161
Reddy, T. E., Gertz, J., Crawford, G. E., Garabedian, M. J., & Myers, R. M. (2012) · Molecular and Cellular Biology · doi:10.1128/mcb.00062-12 · Cited by 149
Evolutionary insight from whole‐genome sequencing of experimentally evolved microbes
DETTMAN, J. R., RODRIGUE, N., MELNYK, A. H., WONG, A., BAILEY, S. F., & KASSEN, R. (2012) · Molecular Ecology · doi:10.1111/j.1365-294x.2012.05484.x · Cited by 160
Functional Dynamics of the Gut Microbiome in Elderly People during Probiotic Consumption
Eloe-Fadrosh, E. A., Brady, A., Crabtree, J., Drabek, E. F., Ma, B., Mahurkar, A., Ravel, J., Haverkamp, M., Fiorino, A.-M., Botelho, C., et al. (2015) · mBio · doi:10.1128/mbio.00231-15 · Cited by 160
Polony gels enable amplifiable DNA stamping and spatial transcriptomics of chronic pain
Fu, X., Sun, L., Dong, R., Chen, J. Y., Silakit, R., Condon, L. F., Lin, Y., Lin, S., Palmiter, R. D., & Gu, L. (2022) · Cell · doi:10.1016/j.cell.2022.10.021 · Cited by 161
Long-range single-molecule mapping of chromatin accessibility in eukaryotes
Shipony, Z., Marinov, G. K., Swaffer, M. P., Sinnott-Armstrong, N. A., Skotheim, J. M., Kundaje, A., & Greenleaf, W. J. (2020) · Nature Methods · doi:10.1038/s41592-019-0730-2 · Cited by 160
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
TET1 regulates hypoxia-induced epithelial-mesenchymal transition by acting as a co-activator
Tsai, Y.-P., Chen, H.-F., Chen, S.-Y., Cheng, W.-C., Wang, H.-W., Shen, Z.-J., Song, C., Teng, S.-C., He, C., & Wu, K.-J. (2014) · Genome biology · doi:10.1186/s13059-014-0513-0 · Cited by 152
24 hours in the life of HIV-1 in a T cell line
Mohammadi, P., Desfarges, S., Bartha, I., Joos, B., Zangger, N., Muñoz, M., Günthard, H. F., Beerenwinkel, N., Telenti, A., & Ciuffi, A. (2013) · PLoS Pathogens · doi:10.1371/journal.ppat.1003161 · Cited by 155
The Functional Proximal Proteome of Oncogenic Ras Includes mTORC2
Kovalski, J. R., Bhaduri, A., Zehnder, A. M., Neela, P. H., Che, Y., Wozniak, G. G., & Khavari, P. A. (2019) · Molecular Cell · doi:10.1016/j.molcel.2018.12.001 · Cited by 154
HIV-1 Integrase Binds the Viral RNA Genome and Is Essential during Virion Morphogenesis
Kessl, J. J., Kutluay, S. B., Townsend, D., Rebensburg, S., Slaughter, A., Larue, R. C., Shkriabai, N., Bakouche, N., Fuchs, J. R., Bieniasz, P. D., et al. (2016) · Cell · doi:10.1016/j.cell.2016.07.044 · Cited by 152
Takaku, M., Grimm, S. A., Shimbo, T., Perera, L., Menafra, R., Stunnenberg, H. G., Archer, T. K., Machida, S., Kurumizaka, H., & Wade, P. A. (2016) · Genome Biology · doi:10.1186/s13059-016-0897-0 · Cited by 151
Toward the human cellular microRNAome
McCall, M. N., Kim, M.-S., Adil, M., Patil, A. H., Lu, Y., Mitchell, C. J., Leal-Rojas, P., Xu, J., Kumar, M., Dawson, V. L., et al. (2017) · Genome Research · doi:10.1101/gr.222067.117 · Cited by 151
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
Cell fitness screens reveal a conflict between LINE-1 retrotransposition and DNA replication
Ardeljan, D., Steranka, J. P., Liu, C., Li, Z., Taylor, M. S., Payer, L. M., Gorbounov, M., Sarnecki, J. S., Deshpande, V., Hruban, R. H., et al. (2020) · Nature Structural & Molecular Biology · doi:10.1038/s41594-020-0372-1 · Cited by 135
The PhoP-Dependent ncRNA Mcr7 Modulates the TAT Secretion System in Mycobacterium tuberculosis
Solans, L., Gonzalo-Asensio, J., Sala, C., Benjak, A., Uplekar, S., Rougemont, J., Guilhot, C., Malaga, W., Martín, C., & Cole, S. T. (2014) · PLoS Pathogens · doi:10.1371/journal.ppat.1004183 · Cited by 147
Łabaj, P. P., Leparc, G. G., Linggi, B. E., Markillie, L. M., Wiley, H. S., & Kreil, D. P. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr247 · Cited by 141
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
Profiling SARS-CoV-2 HLA-I peptidome reveals T cell epitopes from out-of-frame ORFs
Weingarten-Gabbay, S., Klaeger, S., Sarkizova, S., Pearlman, L. R., Chen, D.-Y., Gallagher, K. M. E., Bauer, M. R., Taylor, H. B., Dunn, W. A., Tarr, C., et al. (2021) · Cell · doi:10.1016/j.cell.2021.05.046 · Cited by 147
Multi-omic Profiling Reveals Dynamics of the Phased Progression of Pluripotency
Yang, P., Humphrey, S. J., Cinghu, S., Pathania, R., Oldfield, A. J., Kumar, D., Perera, D., Yang, J. Y. H., James, D. E., Mann, M., et al. (2019) · Cell Systems · doi:10.1016/j.cels.2019.03.012 · Cited by 146
RNA-sequence analysis of human B-cells
Toung, J. M., Morley, M., Li, M., & Cheung, V. G. (2011) · Genome Research · doi:10.1101/gr.116335.110 · Cited by 142
Placing the HIRA Histone Chaperone Complex in the Chromatin Landscape
Pchelintsev, N. A., McBryan, T., Rai, T. S., van Tuyn, J., Ray-Gallet, D., Almouzni, G., & Adams, P. D. (2013) · Cell Reports · doi:10.1016/j.celrep.2013.03.026 · Cited by 143
Red fox genome assembly identifies genomic regions associated with tame and aggressive behaviours
Kukekova, A. V., Johnson, J. L., Xiang, X., Feng, S., Liu, S., Rando, H. M., Kharlamova, A. V., Herbeck, Y., Serdyukova, N. A., Xiong, Z., et al. (2018) · Nature Ecology & Evolution · doi:10.1038/s41559-018-0611-6 · Cited by 145
OLego: fast and sensitive mapping of spliced mRNA-Seq reads using small seeds
Wu, J., Anczuków, O., Krainer, A. R., Zhang, M. Q., & Zhang, C. (2013) · Nucleic Acids Research · doi:10.1093/nar/gkt216 · Cited by 123
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
Stevenson, K. R., Coolon, J. D., & Wittkopp, P. J. (2013) · BMC Genomics · doi:10.1186/1471-2164-14-536 · Cited by 140
Belda, E., Voland, L., Tremaroli, V., Falony, G., Adriouch, S., Assmann, K. E., Prifti, E., Aron-Wisnewsky, J., Debédat, J., Le Roy, T., et al. (2022) · Gut · doi:10.1136/gutjnl-2021-325753 · Cited by 140
Stabilization of the Max Homodimer with a Small Molecule Attenuates Myc-Driven Transcription
Struntz, N. B., Chen, A., Deutzmann, A., Wilson, R. M., Stefan, E., Evans, H. L., Ramirez, M. A., Liang, T., Caballero, F., Wildschut, M. H. E., et al. (2019) · Cell Chemical Biology · doi:10.1016/j.chembiol.2019.02.009 · Cited by 130
Self-citationMYC Recruits SPT5 to RNA Polymerase II to Promote Processive Transcription Elongation
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
Identification of neurodegenerative factors using translatome–regulatory network analysis
Brichta, L., Shin, W., Jackson-Lewis, V., Blesa, J., Yap, E.-L., Walker, Z., Zhang, J., Roussarie, J.-P., Alvarez, M. J., Califano, A., et al. (2015) · Nature Neuroscience · doi:10.1038/nn.4070 · Cited by 118
Chudnovsky, Y., Kim, D., Zheng, S., Whyte, W. A., Bansal, M., Bray, M.-A., Gopal, S., Theisen, M. A., Bilodeau, S., Thiru, P., et al. (2014) · Cell Reports · doi:10.1016/j.celrep.2013.12.032 · Cited by 136
Functional assessment of human enhancer activities using whole-genome STARR-sequencing
Liu, Y., Yu, S., Dhiman, V. K., Brunetti, T., Eckart, H., & White, K. P. (2017) · Genome Biology · doi:10.1186/s13059-017-1345-5 · Cited by 136
Liguori, M., Nuzziello, N., Introna, A., Consiglio, A., Licciulli, F., D’Errico, E., Scarafino, A., Distaso, E., & Simone, I. L. (2018) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2018.00288 · Cited by 131
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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
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Li, Z., Ferguson, L., Deol, K. K., Roberts, M. A., Magtanong, L., Hendricks, J. M., Mousa, G. A., Kilinc, S., Schaefer, K., Wells, J. A., et al. (2022) · Nature Chemical Biology · doi:10.1038/s41589-022-01033-3 · Cited by 134
Neuropathological and transcriptomic characteristics of the aged brain
Miller, J. A., Guillozet-Bongaarts, A., Gibbons, L. E., Postupna, N., Renz, A., Beller, A. E., Sunkin, S. M., Ng, L., Rose, S. E., Smith, K. A., et al. (2017) · eLife · doi:10.7554/elife.31126 · Cited by 134
Currie, K. W., & Pearson, B. J. (2013) · Development · doi:10.1242/dev.098590 · Cited by 131
MicroRNA Expression and Regulation in Human, Chimpanzee, and Macaque Brains
Hu, H. Y., Guo, S., Xi, J., Yan, Z., Fu, N., Zhang, X., Menzel, C., Liang, H., Yang, H., Zhao, M., et al. (2011) · PLoS Genetics · doi:10.1371/journal.pgen.1002327 · Cited by 130
Roy, J., Sarkar, A., Parida, S., Ghosh, Z., & Mallick, B. (2017) · Molecular BioSystems · doi:10.1039/c6mb00699j · Cited by 130
Ayoub, A. E., Oh, S., Xie, Y., Leng, J., Cotney, J., Dominguez, M. H., Noonan, J. P., & Rakic, P. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1112213108 · Cited by 129
Wu, H.-T., Kuo, Y.-C., Hung, J.-J., Huang, C.-H., Chen, W.-Y., Chou, T.-Y., Chen, Y., Chen, Y.-J., Chen, Y.-J., Cheng, W.-C., et al. (2016) · Nature Communications · doi:10.1038/ncomms13644 · Cited by 129
Discovery and mass spectrometric analysis of novel splice-junction peptides using RNA-Seq
Sheynkman, G. M., Shortreed, M. R., Frey, B. L., & Smith, L. M. (2013) · Molecular & Cellular Proteomics · doi:10.1074/mcp.o113.028142 · Cited by 128
Lkb1 inactivation drives lung cancer lineage switching governed by Polycomb Repressive Complex 2
Zhang, H., Fillmore Brainson, C., Koyama, S., Redig, A. J., Chen, T., Li, S., Gupta, M., Garcia-de-Alba, C., Paschini, M., Herter-Sprie, G. S., et al. (2017) · Nature Communications · doi:10.1038/ncomms14922 · Cited by 127
Wilson, S., Qi, J., & Filipp, F. V. (2016) · Scientific Reports · doi:10.1038/srep32611 · Cited by 126
Hosokawa, H., Ungerbäck, J., Wang, X., Matsumoto, M., Nakayama, K. I., Cohen, S. M., Tanaka, T., & Rothenberg, E. V. (2018) · Immunity · doi:10.1016/j.immuni.2018.04.024 · Cited by 116
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Liang, K., Smith, E. R., Aoi, Y., Stoltz, K. L., Katagi, H., Woodfin, A. R., Rendleman, E. J., Marshall, S. A., Murray, D. C., Wang, L., et al. (2018) · Cell · doi:10.1016/j.cell.2018.09.027 · Cited by 124
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Siira, S. J., Spåhr, H., Shearwood, A.-M. J., Ruzzenente, B., Larsson, N.-G., Rackham, O., & Filipovska, A. (2017) · Nature Communications · doi:10.1038/s41467-017-01221-z · Cited by 123
Pyfrom, S., Paneru, B., Knox, J. J., Cancro, M. P., Posso, S., Buckner, J. H., & Anguera, M. C. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2024624118 · Cited by 126
Pich, O., Muiños, F., Sabarinathan, R., Reyes-Salazar, I., Gonzalez-Perez, A., & Lopez-Bigas, N. (2018) · Cell · doi:10.1016/j.cell.2018.10.004 · Cited by 123
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Haberle, V., Arnold, C. D., Pagani, M., Rath, M., Schernhuber, K., & Stark, A. (2019) · Nature · doi:10.1038/s41586-019-1210-7 · Cited by 123
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Wallrabenstein, I., Kuklan, J., Weber, L., Zborala, S., Werner, M., Altmüller, J., Becker, C., Schmidt, A., Hatt, H., Hummel, T., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0054950 · Cited by 122
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Araujo, D. J., Anderson, A. G., Berto, S., Runnels, W., Harper, M., Ammanuel, S., Rieger, M. A., Huang, H.-C., Rajkovich, K., Loerwald, K. W., et al. (2015) · Genes & Development · doi:10.1101/gad.267989.115 · Cited by 111
MLV integration site selection is driven by strong enhancers and active promoters
LaFave, M. C., Varshney, G. K., Gildea, D. E., Wolfsberg, T. G., Baxevanis, A. D., & Burgess, S. M. (2014) · Nucleic Acids Research · doi:10.1093/nar/gkt1399 · Cited by 114
Ojala, D. S., Sun, S., Santiago-Ortiz, J. L., Shapiro, M. G., Romero, P. A., & Schaffer, D. V. (2018) · Molecular Therapy · doi:10.1016/j.ymthe.2017.09.006 · Cited by 97
Okagaki, L. H., Wang, Y., Ballou, E. R., O'Meara, T. R., Bahn, Y.-S., Alspaugh, J. A., Xue, C., & Nielsen, K. (2011) · Eukaryotic Cell · doi:10.1128/ec.05179-11 · Cited by 117
Evidence for additive and synergistic action of mammalian enhancers during cell fate determination
Choi, J., Lysakovskaia, K., Stik, G., Demel, C., Söding, J., Tian, T. V., Graf, T., & Cramer, P. (2021) · eLife · doi:10.7554/elife.65381 · Cited by 117
Wei, Y.-N., Hu, H.-Y., Xie, G.-C., Fu, N., Ning, Z.-B., Zeng, R., & Khaitovich, P. (2015) · Genome Biology · doi:10.1186/s13059-015-0608-2 · Cited by 117
Akula, N., Barb, J., Jiang, X., Wendland, J. R., Choi, K. H., Sen, S. K., Hou, L., Chen, D. T. W., Laje, G., Johnson, K., et al. (2014) · Molecular Psychiatry · doi:10.1038/mp.2013.170 · Cited by 116
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Loayza-Puch, F., Drost, J., Rooijers, K., Lopes, R., Elkon, R., & Agami, R. (2013) · Genome Biology · doi:10.1186/gb-2013-14-4-r32 · Cited by 114
Krueger, F., Andrews, S. R., & Osborne, C. S. (2011) · PLoS ONE · doi:10.1371/journal.pone.0016607 · Cited by 102
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DeMare, L. E., Leng, J., Cotney, J., Reilly, S. K., Yin, J., Sarro, R., & Noonan, J. P. (2013) · Genome Research · doi:10.1101/gr.156570.113 · Cited by 114
Blasco, M. T., Navas, C., Martín-Serrano, G., Graña-Castro, O., Lechuga, C. G., Martín-Díaz, L., Djurec, M., Li, J., Morales-Cacho, L., Esteban-Burgos, L., et al. (2019) · Cancer Cell · doi:10.1016/j.ccell.2019.03.002 · Cited by 115
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Bunker, B. D., Nellimoottil, T. T., Boileau, R. M., Classen, A. K., & Bilder, D. (2015) · eLife · doi:10.7554/elife.03189 · Cited by 114
Sun, J., Rockowitz, S., Xie, Q., Ashery-Padan, R., Zheng, D., & Cvekl, A. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv589 · Cited by 113
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
A limited capacity for microglial repopulation in the adult brain
Najafi, A. R., Crapser, J., Jiang, S., Ng, W., Mortazavi, A., West, B. L., & Green, K. N. (2018) · Glia · doi:10.1002/glia.23477 · Cited by 99
Gao, G., Ma, T., Zhang, T., Jin, H., Li, Y., Kwok, L.-Y., Zhang, H., & Sun, Z. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.772532 · Cited by 111
Tools for experimental and computational analyses of off-target editing by programmable nucleases
Bao, X. R., Pan, Y., Lee, C. M., Davis, T. H., & Bao, G. (2021) · Nature Protocols · doi:10.1038/s41596-020-00431-y · Cited by 106
Pettigrew, M. M., Marks, L. R., Kong, Y., Gent, J. F., Roche-Hakansson, H., & Hakansson, A. P. (2014) · Infection and Immunity · doi:10.1128/iai.02225-14 · Cited by 110
A KRAB/KAP1-miRNA Cascade Regulates Erythropoiesis Through Stage-Specific Control of Mitophagy
Barde, I., Rauwel, B., Marin-Florez, R. M., Corsinotti, A., Laurenti, E., Verp, S., Offner, S., Marquis, J., Kapopoulou, A., Vanicek, J., et al. (2013) · Science · doi:10.1126/science.1232398 · Cited by 111
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
Pugacheva, E. M., Rivero-Hinojosa, S., Espinoza, C. A., Méndez-Catalá, C. F., Kang, S., Suzuki, T., Kosaka-Suzuki, N., Robinson, S., Nagarajan, V., Ye, Z., et al. (2015) · Genome biology · doi:10.1186/s13059-015-0736-8 · Cited by 110
Lysosomal Signaling Licenses Embryonic Stem Cell Differentiation via Inactivation of Tfe3
Villegas, F., Lehalle, D., Mayer, D., Rittirsch, M., Stadler, M. B., Zinner, M., Olivieri, D., Vabres, P., Duplomb-Jego, L., De Bont, E. S. J. M., et al. (2019) · Cell Stem Cell · doi:10.1016/j.stem.2018.11.021 · Cited by 110
Differential transcriptome analysis of glandular and filamentous trichomes in Artemisia annua
Soetaert, S. S., Van Neste, C. M., Vandewoestyne, M. L., Head, S. R., Goossens, A., Van Nieuwerburgh, F. C., & Deforce, D. L. (2013) · BMC Plant Biology · doi:10.1186/1471-2229-13-220 · Cited by 109
The lipid elongation enzyme ELOVL2 is a molecular regulator of aging in the retina
Chen, D., Chao, D. L., Rocha, L., Kolar, M., Nguyen Huu, V. A., Krawczyk, M., Dasyani, M., Wang, T., Jafari, M., Jabari, M., et al. (2020) · Aging Cell · doi:10.1111/acel.13100 · Cited by 109
Lee, K.-W., Yeo, S.-Y., Gong, J.-R., Koo, O.-J., Sohn, I., Lee, W. Y., Kim, H. C., Yun, S. H., Cho, Y. B., Choi, M.-A., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-30484-4 · Cited by 103
Wood, S. H., Craig, T., Li, Y., Merry, B., & de Magalhães, J. P. (2013) · AGE · doi:10.1007/s11357-012-9410-1 · Cited by 105
Transcriptome assembly and isoform expression level estimation from biased RNA-Seq reads
Li, W., & Jiang, T. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts559 · Cited by 97
Liscovitch-Brauer, N., Montalbano, A., Deng, J., Méndez-Mancilla, A., Wessels, H.-H., Moss, N. G., Kung, C.-Y., Sookdeo, A., Guo, X., Geller, E., et al. (2021) · Nature Biotechnology · doi:10.1038/s41587-021-00902-x · Cited by 107
Franke, K. R., & Crowgey, E. L. (2020) · Genomics & Informatics · doi:10.5808/gi.2020.18.1.e10 · Cited by 95
Cormier, A., Avia, K., Sterck, L., Derrien, T., Wucher, V., Andres, G., Monsoor, M., Godfroy, O., Lipinska, A., Perrineau, M., et al. (2017) · New Phytologist · doi:10.1111/nph.14321 · Cited by 103
TERT activation targets DNA methylation and multiple aging hallmarks
Shim, H. S., Iaconelli, J., Shang, X., Li, J., Lan, Z. D., Jiang, S., Nutsch, K., Beyer, B. A., Lairson, L. L., Boutin, A. T., et al. (2024) · Cell · doi:10.1016/j.cell.2024.05.048 · Cited by 104
Sleutels, F., Soochit, W., Bartkuhn, M., Heath, H., Dienstbach, S., Bergmaier, P., Franke, V., Rosa-Garrido, M., van de Nobelen, S., Caesar, L., et al. (2012) · Epigenetics & Chromatin · doi:10.1186/1756-8935-5-8 · Cited by 96
Bam, M., Yang, X., Zhou, J., Ginsberg, J. P., Leyden, Q., Nagarkatti, P. S., & Nagarkatti, M. (2016) · Journal of Neuroimmune Pharmacology · doi:10.1007/s11481-015-9643-8 · Cited by 103
Gain-of-function mutation of microRNA-140 in human skeletal dysplasia
Grigelioniene, G., Suzuki, H. I., Taylan, F., Mirzamohammadi, F., Borochowitz, Z. U., Ayturk, U. M., Tzur, S., Horemuzova, E., Lindstrand, A., Weis, M. A., et al. (2019) · Nature Medicine · doi:10.1038/s41591-019-0353-2 · Cited by 103
“Filtered reads were mapped to the mm9 genome assembly with bowtie 1.0.1, allowing two mismatches, and further quantitated using miRBase v21 as previously described 52,58 .”
InfluentialPotting, C., Crochemore, C., Moretti, F., Nigsch, F., Schmidt, I., Manneville, C., Carbone, W., Knehr, J., DeJesus, R., Lindeman, A., et al. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1711023115 · Cited by 93
Fong, N., Saldi, T., Sheridan, R. M., Cortazar, M. A., & Bentley, D. L. (2017) · Molecular Cell · doi:10.1016/j.molcel.2017.04.016 · Cited by 98
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
Hnisz, D., Bardet, A. F., Nobile, C. J., Petryshyn, A., Glaser, W., Schöck, U., Stark, A., & Kuchler, K. (2012) · PLoS Genetics · doi:10.1371/journal.pgen.1003118 · Cited by 100
Analytical tools and current challenges in the modern era of neuroepigenomics
Maze, I., Shen, L., Zhang, B., Garcia, B. A., Shao, N., Mitchell, A., Sun, H., Akbarian, S., Allis, C. D., & Nestler, E. J. (2014) · Nature Neuroscience · doi:10.1038/nn.3816 · Cited by 100
Global DNA Hypermethylation in Down Syndrome Placenta
Jin, S., Lee, Y. K., Lim, Y. C., Zheng, Z., Lin, X. M., Ng, D. P. Y., Holbrook, J. D., Law, H. Y., Kwek, K. Y. C., Yeo, G. S. H., et al. (2013) · PLoS Genetics · doi:10.1371/journal.pgen.1003515 · Cited by 99
Metadata
- Authors
- Langmead, B., Trapnell, C., Pop, M., & Salzberg, S. L.
- Affiliations
- University of Maryland, College Park (US)
- Corresponding author
- Langmead, Ben
- Venue
- Genome Biology
- Published
- 2009-03-04
- Volume
- 10
- Issue
- 3
- Pages
- R25-R25
- ISSN
- 1465-6906 (ISSN-L)
- 1474-760X
- PMC
- PMC2690996
- OpenAlex
- W2124985265
- Cited by
- 21,849
- References
- 29
- Citations by year
- 2026: 620 · 2025: 981 · 2024: 1140 · 2023: 1226 · 2022: 1405 · 2021: 1665 · 2020: 1652 · 2019: 1726 · 2018: 1653 · 2017: 1702 · 2016: 1538 · 2015: 1620 · 2014: 1565 · 2013: 1325 · 2012: 1029
- FWCI
- 267.58
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Genome biology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- University Libraries (University of Maryland) (submittedVersion)
- Digital Repository at the University of Maryland (University of Maryland College Park)
- Funders
- National Institutes of Health
- National Human Genome Research Institute (R01HG004885)
- National Institute of General Medical Sciences (R01GM083873)
- U.S. National Library of Medicine (R01LM006845)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Physical Sciences › Mathematics › Theoretical Computer Science › Algorithms and Data Compression
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Fractal and DNA sequence analysis
- Keywords
- Bowtie, human genome, memory-efficient alignment, parallel alignment, next-generation sequencing reads
- MeSH terms
- Algorithms, Base Sequence, Humans, Genome, Human, Sequence Alignment
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