Fast gapped-read alignment with Bowtie 2
Open accessAbstract
As the rate of sequencing increases, greater throughput is demanded from read aligners. The full-text minute index is often used to make alignment very fast and memory-efficient, but the approach is ill-suited to finding longer, gapped alignments. Bowtie 2 combines the strengths of the full-text minute index with the flexibility and speed of hardware-accelerated dynamic programming algorithms to achieve a combination of high speed, sensitivity and accuracy.
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
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?
Bowtie2, BWA, HISAT2, STAR or any tool wrapping one of these aligners are confirmed to work for alignment to N-masked genomes.
“Software confirmed to be working for this approach include (but are not limited to) Bowtie2 11, BWA 12, HISAT2 13, STAR 14 or any tool wrapping one of these aligners.”
From SNPsplit: Allele-specific splitting of alignments between genomes with known SNP genotypes (2016) · cites this paper as [11]
The paper’s Abstract (page not provided) identifies Bowtie 2 as a read aligner and reports its use with a human reference genome, supporting its identification in the list. It does not say that Bowtie 2 was tested or confirmed to work with N-masked genomes; searches for masked bases and ambiguous reference characters found no such passage. The other aligners have separate citations in the citing sentence and are not assessed here. (LLM, conf=0.84)
Experimental — accuracy not yet measuredRaw reads were processed and mapped to the Mus musculus reference genome (Ensembl release 99) using bowtie with an average mapping rate of 87.1%.
“Raw reads were processed and mapped to the Mus musculus reference genome (Ensembl release 99) using bowtie with an average mapping rate of 87.1% [96]”
From Rapid changes in plasma corticosterone and medial amygdala transcriptome profiles during social status change reveal molecular pathways associated with a major life history transition in mouse dominance hierarchies (2025) · cites this paper as [96]
The paper’s main text describes Bowtie 2 as a read aligner, so it supports citing an alignment method. It explicitly compares Bowtie 2 with Bowtie as a separate tool, however, and its experiments use a human reference genome; it does not report the citing study’s mouse reference or 87.1% mapping rate. (LLM, conf=0.83)
Experimental — accuracy not yet measuredPoullet et al. find that end-to-end mode is optimal for Bowtie2 in an aDNA context.
“and Poullet et al. find that –end-to-end mode is optimal for Bowtie2 [12] in an aDNA context [13].”
From <tt>SAFARI</tt> : pangenome alignment of ancient DNA using purine/pyrimidine encodings (2025) · cites this paper as [12]
Using Bowtie2 in end-to-end mode without allowing gaps guarantees that all merged reads that can be mapped to the reference genome are correctly merged.
“This guarantees that all merged reads that can be mapped to the reference genome are correctly merged.”
From PEAR: a fast and accurate Illumina Paired-End reAd mergeR (2014) · cites this paper as Langmead and Salzberg, 2012
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
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 · see citing works
Fast and accurate short read alignment with Burrows-Wheeler transform
Li, H., & Durbin, R. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp324 · Cited by 58,607 · see citing works
The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data
McKenna, A., Hanna, M., Banks, E., Sivachenko, A., Cibulskis, K., Kernytsky, A., Garimella, K., Altshuler, D., Gabriel, S., Daly, M., et al. (2010) · Genome Research · doi:10.1101/gr.107524.110 · Cited by 27,895 · see citing works
Ultrafast and memory-efficient alignment of short DNA sequences to the human genome.
Langmead, B., Trapnell, C., Pop, M., & Salzberg, S. L. (2009) · Genome Biology · doi:10.1186/gb-2009-10-3-r25 · Cited by 21,849 · see citing works
Self-citationTrapnell, C., Williams, B. A., Pertea, G., Mortazavi, A., Kwan, G., van Baren, M. J., Salzberg, S. L., Wold, B. J., & Pachter, L. (2010) · Nature Biotechnology · doi:10.1038/nbt.1621 · Cited by 15,556 · see citing works
Self-citationFast and accurate long-read alignment with Burrows-Wheeler transform.
Li, H., & Durbin, R. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btp698 · Cited by 12,063 · see citing works
A map of human genome variation from population-scale sequencing.
The 1000 Genomes Project Consortium (2010) · Nature · doi:10.1038/nature09534 · Cited by 7,877 · see citing works
SOAP2: an improved ultrafast tool for short read alignment
Li, R., Yu, C., Li, Y., Lam, T., Yiu, S., Kristiansen, K., & Wang, J. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp336 · Cited by 3,763 · see citing works
An integrated semiconductor device enabling non-optical genome sequencing
Rothberg, J. M., Hinz, W., Rearick, T. M., Schultz, J., Mileski, W., Davey, M. S., Leamon, J. H., Johnson, K., Milgrew, M. J., Edwards, M. M., et al. (2011) · Nature · doi:10.1038/nature10242 · Cited by 2,187 · see citing works
A survey of sequence alignment algorithms for next-generation sequencing
Li, H., & Homer, N. (2010) · Briefings in Bioinformatics · doi:10.1093/bib/bbq015 · Cited by 875 · see citing works
Cloud-scale RNA-sequencing differential expression analysis with Myrna
Langmead, B., Hansen, K. D., & Leek, J. T. (2010) · Genome biology · doi:10.1186/gb-2010-11-8-r83 · Cited by 313 · see citing works
Self-citationAccurate and comprehensive sequencing of personal genomes.Preprint
Ajay, S., Parker, S., Abaan, H., Fuentes-Fajardo, K., & Margulies, E. (2011) · Genome Research · doi:10.1101/gr.123638.111 · Cited by 233 · see citing works
High Throughput Short Read Alignment via Bi-directional BWT
Lam, T., Li, R., Tam, A., Wong, S., Wu, E., & Yiu, S. (2009) · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · doi:10.1109/bibm.2009.42 · Cited by 111 · see citing works
Flagged first, then by citations
1 of the 14 references couldn’t be matched to a known paper.
Research works printed but not linked: 3
- [5]Ferragina P Manzini G Proc. 41st Annual Symposium on Foundations of Computer Science 2000 390 398 IEEE Comput. Soc.
- [7]Lam T IEEE International Conference on Bioinformatics and Biomedicine 2009 31 36
- [9]Li H Durbin R Bioinformatics 2010 26 589 595 20080505 PMC2828108
Cited by
Sorted by citations
Trimmomatic: a flexible trimmer for Illumina sequence data
Bolger, A. M., Lohse, M., & Usadel, B. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu170 · Cited by 65,548 · see citing works
fastp: an ultra-fast all-in-one FASTQ preprocessor
(2018) · doi:10.1093/bioinformatics/bty560 · Cited by 29,721 · see citing works
HISAT: a fast spliced aligner with low memory requirements
Kim, D., Langmead, B., & Salzberg, S. L. (2015) · Nature Methods · doi:10.1038/nmeth.3317 · Cited by 24,112 · see citing works
Self-citationMinimap2: Pairwise alignment for nucleotide sequences
Li, H. (2018) · Bioinformatics · doi:10.1093/bioinformatics/bty191 · Cited by 14,807 · see citing works
Graph-based genome alignment and genotyping with HISAT2 and HISAT-genotype
Kim, D., Paggi, J. M., Park, C., Bennett, C., & Salzberg, S. L. (2019) · Nature Biotechnology · doi:10.1038/s41587-019-0201-4 · Cited by 15,022 · see citing works
Self-citationSalmon provides fast and bias-aware quantification of transcript expression
Patro, R., Duggal, G., Love, M. I., Irizarry, R. A., & Kingsford, C. (2017) · Nature Methods · doi:10.1038/nmeth.4197 · Cited by 12,700 · see citing works
Kim, D., Pertea, G., Trapnell, C., Pimentel, H., Kelley, R., & Salzberg, S. L. (2013) · Genome Biology · doi:10.1186/gb-2013-14-4-r36 · Cited by 12,668 · see citing works
Self-citationA new coronavirus associated with human respiratory disease in China
Wu, F., Zhao, S., Yu, B., Chen, Y.-M., Wang, W., Song, Z.-G., Hu, Y., Tao, Z.-W., Tian, J.-H., Pei, Y.-Y., et al. (2020) · Nature · doi:10.1038/s41586-020-2008-3 · Cited by 11,688 · see citing works
Diet rapidly and reproducibly alters the human gut microbiome
David, L. A., Maurice, C. F., Carmody, R. N., Gootenberg, D. B., Button, J. E., Wolfe, B. E., Ling, A. V., Devlin, A. S., Varma, Y., Fischbach, M. A., et al. (2014) · Nature · doi:10.1038/nature12820 · Cited by 10,100 · see citing works
Li, D., Liu, C.-M., Luo, R., Sadakane, K., & Lam, T. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btv033 · Cited by 9,781 · see citing works
Haas, B. J., Papanicolaou, A., Yassour, M., Grabherr, M., Blood, P. D., Bowden, J., Couger, M. B., Eccles, D., Li, B., Lieber, M., et al. (2013) · Nature Protocols · doi:10.1038/nprot.2013.084 · Cited by 8,464 · see citing works
Walker, B. J., Abeel, T., Shea, T., Priest, M., Abouelliel, A., Sakthikumar, S., Cuomo, C. A., Zeng, Q., Wortman, J. R., Young, S., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0112963 · Cited by 8,994 · see citing works
Unicycler: Resolving bacterial genome assemblies from short and long sequencing reads
Wick, R. R., Judd, L. M., Gorrie, C. L., & Holt, K. E. (2017) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1005595 · Cited by 8,728 · see citing works
Circular RNAs are a large class of animal RNAs with regulatory potency
Memczak, S., Jens, M., Elefsinioti, A., Torti, F., Krueger, J., Rybak, A., Maier, L., Mackowiak, S. D., Gregersen, L. H., Munschauer, M., et al. (2013) · Nature · doi:10.1038/nature11928 · Cited by 7,990 · see citing works
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 · see citing works
Transcript-level expression analysis of RNA-seq experiments with HISAT, StringTie and Ballgown
Pertea, M., Kim, D., Pertea, G. M., Leek, J. T., & Salzberg, S. L. (2016) · Nature Protocols · doi:10.1038/nprot.2016.095 · Cited by 6,708 · see citing works
Self-citationGut microbiome influences efficacy of PD-1-based immunotherapy against epithelial tumors
Routy, B., Le Chatelier, E., Derosa, L., Duong, C. P. M., Alou, M. T., Daillère, R., Fluckiger, A., Messaoudene, M., Rauber, C., Roberti, M. P., et al. (2018) · Science · doi:10.1126/science.aan3706 · Cited by 5,671 · see citing works
Optimized sgRNA design to maximize activity and minimize off-target effects of CRISPR-Cas9
Doench, J. G., Fusi, N., Sullender, M., Hegde, M., Vaimberg, E. W., Donovan, K. F., Smith, I., Tothova, Z., Wilen, C., Orchard, R., et al. (2016) · Nature Biotechnology · doi:10.1038/nbt.3437 · Cited by 4,637 · see citing works
Aligning sequence reads, clone sequences and assembly con*gs with BWA-MEMPreprint
Li, H. (2014) · arXiv (Cornell University) · doi:10.6084/m9.figshare.963153.v1 · Cited by 5,150 · see citing works
Gut microbiome modulates response to anti-PD-1 immunotherapy in melanoma patients
Gopalakrishnan, V., Spencer, C. N., Nezi, L., Reuben, A., Andrews, M. C., Karpinets, T. V., Prieto, P. A., Vicente, D., Hoffman, K., Wei, S. C., et al. (2018) · Science · doi:10.1126/science.aan4236 · Cited by 4,812 · see citing works
PEAR: a fast and accurate Illumina Paired-End reAd mergeR
Zhang, J., Kobert, K., Flouri, T., & Stamatakis, A. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btt593 · Cited by 4,497 · see citing works
metaSPAdes: a new versatile metagenomic assembler
Nurk, S., Meleshko, D., Korobeynikov, A., & Pevzner, P. A. (2017) · Genome Research · doi:10.1101/gr.213959.116 · Cited by 4,496 · see citing works
Metabolic regulation of gene expression by histone lactylation
Zhang, D., Tang, Z., Huang, H., Zhou, G., Cui, C., Weng, Y., Liu, W., Kim, S., Lee, S., Perez-Neut, M., et al. (2019) · Nature · doi:10.1038/s41586-019-1678-1 · Cited by 4,371 · see citing works
Imbalanced Host Response to SARS-CoV-2 Drives Development of COVID-19
Blanco-Melo, D., Nilsson-Payant, B. E., Liu, W.-C., Uhl, S., Hoagland, D., Møller, R., Jordan, T. X., Oishi, K., Panis, M., Sachs, D., et al. (2020) · Cell · doi:10.1016/j.cell.2020.04.026 · Cited by 4,222 · see citing works
GetOrganelle: a fast and versatile toolkit for accurate de novo assembly of organelle genomes
Jin, J., Yu, W.-B., Yang, J., Song, Y., dePamphilis, C. W., Yi, T., & Li, D.-Z. (2020) · Genome biology · doi:10.1186/s13059-020-02154-5 · Cited by 4,186 · see citing works
Molecular and genetic properties of tumors associated with local immune cytolytic activity
Rooney, M. S., Shukla, S. A., Wu, C. J., Getz, G., & Hacohen, N. (2015) · Cell · doi:10.1016/j.cell.2014.12.033 · Cited by 3,825 · see citing works
Visualization and analysis of gene expression in tissue sections by spatial transcriptomics
Ståhl, P. L., Salmén, F., Vickovic, S., Lundmark, A., Navarro, J. F., Magnusson, J., Giacomello, S., Asp, M., Westholm, J. O., Huss, M., et al. (2016) · Science · doi:10.1126/science.aaf2403 · Cited by 3,834 · see citing works
Gut Microbiota from Twins Discordant for Obesity Modulate Metabolism in Mice
Ridaura, V. K., Faith, J. J., Rey, F. E., Cheng, J., Duncan, A. E., Kau, A. L., Griffin, N. W., Lombard, V., Henrissat, B., Bain, J. R., et al. (2013) · Science · doi:10.1126/science.1241214 · Cited by 3,788 · see citing works
CARD 2020: Antibiotic Resistome Surveillance with the Comprehensive Antibiotic Resistance Database
Alcock, B. P., Raphenya, A. R., Lau, T. T. Y., Tsang, K. K., Bouchard, M., Edalatmand, A., Huynh, W., Nguyen, A.-L. V., Cheng, A. A., Liu, S., et al. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz935 · Cited by 3,202 · see citing works
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 3,107 · see citing works
The Subread aligner: fast, accurate and scalable read mapping by seed-and-vote
Liao, Y., Smyth, G. K., & Shi, W. (2013) · Nucleic Acids Research · doi:10.1093/nar/gkt214 · Cited by 3,064 · see citing works
Environment dominates over host genetics in shaping human gut microbiota
Rothschild, D., Weissbrod, O., Barkan, E., Kurilshikov, A., Korem, T., Zeevi, D., Costea, P. I., Godneva, A., Kalka, I. N., Bar, N., et al. (2018) · Nature · doi:10.1038/nature25973 · Cited by 2,859 · see citing works
Genetic screens in human cells using the CRISPR-Cas9 system
Wang, T., Wei, J. J., Sabatini, D. M., & Lander, E. S. (2014) · Science · doi:10.1126/science.1246981 · Cited by 2,856 · see citing works
NOVOPlasty: de novo assembly of organelle genomes from whole genome data
Dierckxsens, N., Mardulyn, P., & Smits, G. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw955 · Cited by 2,848 · see citing works
Genome-scale transcriptional activation by an engineered CRISPR-Cas9 complex
Konermann, S., Brigham, M. D., Trevino, A. E., Joung, J., Abudayyeh, O. O., Barcena, C., Hsu, P. D., Habib, N., Gootenberg, J. S., Nishimasu, H., et al. (2015) · Nature · doi:10.1038/nature14136 · Cited by 2,825 · see citing works
A survey of best practices for RNA-seq data analysis
Conesa, A., Madrigal, P., Tarazona, S., Gomez-Cabrero, D., Cervera, A., McPherson, A., Szcześniak, M. W., Gaffney, D. J., Elo, L. L., Zhang, X., et al. (2016) · Genome Biology · doi:10.1186/s13059-016-0881-8 · Cited by 2,794 · see citing works
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 · see citing works
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 · see citing works
MUMmer4: A fast and versatile genome alignment system
Marçais, G., Delcher, A. L., Phillippy, A. M., Coston, R., Salzberg, S. L., & Zimin, A. (2018) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1005944 · Cited by 2,484 · see citing works
Self-citationStructure and function of the global topsoil microbiome
Bahram, M., Hildebrand, F., Forslund, S. K., Anderson, J., Soudzilovskaia, N. A., van Bodegom, P. M., Bengtsson‐Palme, J., Anslan, S., Coelho, L. P., Harend, H., et al. (2018) · Nature · doi:10.1038/s41586-018-0386-6 · Cited by 2,524 · see citing works
SMARCAD1 ATPase activity is required to silence endogenous retroviruses in embryonic stem cells
Sachs, P., Ding, D., Bergmaier, P., Lamp, B., Schlagheck, C., Finkernagel, F., Nist, A., Stiewe, T., & Mermoud, J. E. (2019) · Nature Communications · doi:10.1038/s41467-019-09078-0 · Cited by 2,388 · see citing works
Gut bacteria selectively promoted by dietary fibers alleviate type 2 diabetes
Zhao, L., Zhang, F., Ding, X., Wu, G., Lam, Y. Y., Wang, X., Fu, H., Xue, X., Lu, C., Ma, J., et al. (2018) · Science · doi:10.1126/science.aao5774 · Cited by 2,304 · see citing works
Beghini, F., McIver, L. J., Blanco-Míguez, A., Dubois, L., Asnicar, F., Maharjan, S., Mailyan, A., Manghi, P., Scholz, M., Thomas, A. M., et al. (2021) · eLife · doi:10.7554/elife.65088 · Cited by 2,303 · see citing works
Genetic and epigenetic fine mapping of causal autoimmune disease variants
Farh, K. K.-H., Marson, A., Zhu, J., Kleinewietfeld, M., Housley, W. J., Beik, S., Shoresh, N., Whitton, H., Ryan, R. J. H., Shishkin, A. A., et al. (2015) · Nature · doi:10.1038/nature13835 · Cited by 1,956 · see citing works
FastQ Screen: A tool for multi-genome mapping and quality control
Wingett, S., & Andrews, S. (2018) · F1000Research · doi:10.12688/f1000research.15931.1 · Cited by 2,187 · see citing works
Circ-ZNF609 is a circular RNA that can be translated and functions in myogenesis
Legnini, I., Di Timoteo, G., Rossi, F., Morlando, M., Briganti, F., Sthandier, O., Fatica, A., Santini, T., Andronache, A., Wade, M., et al. (2017) · Molecular Cell · doi:10.1016/j.molcel.2017.02.017 · Cited by 2,173 · see citing works
Defining T Cell States Associated with Response to Checkpoint Immunotherapy in Melanoma
Sade-Feldman, M., Yizhak, K., Bjorgaard, S. L., Ray, J. P., de Boer, C. G., Jenkins, R. W., Lieb, D. J., Chen, J. H., Frederick, D. T., Barzily-Rokni, M., et al. (2018) · Cell · doi:10.1016/j.cell.2018.10.038 · Cited by 2,053 · see citing works
Li, D., Luo, R., Liu, C.-M., Leung, C.-M., Ting, H., Sadakane, K., Yamashita, H., & Lam, T. (2016) · Methods · doi:10.1016/j.ymeth.2016.02.020 · Cited by 2,064 · see citing works
Temporal development of the gut microbiome in early childhood from the TEDDY study
Stewart, C. J., Ajami, N. J., O’Brien, J. L., Hutchinson, D. S., Smith, D. P., Wong, M. C., Ross, M. C., Lloyd, R. E., Doddapaneni, H., Metcalf, G., et al. (2018) · Nature · doi:10.1038/s41586-018-0617-x · Cited by 1,996 · see citing works
Zheng, P., Zeng, B., Zhou, C., Liu, M., Fang, Z., Xu, X., Zeng, L., Chen, J., Fan, S., Du, X., et al. (2016) · Molecular Psychiatry · doi:10.1038/mp.2016.44 · Cited by 2,023 · see citing works
Best practices for analysing microbiomes
Knight, R., Vrbanac, A., Taylor, B. C., Aksenov, A., Callewaert, C., Debelius, J., Gonzalez, A., Kosciolek, T., McCall, L.-I., McDonald, D., et al. (2018) · Nature Reviews Microbiology · doi:10.1038/s41579-018-0029-9 · Cited by 2,030 · see citing works
Gut microbiome structure and metabolic activity in inflammatory bowel disease
Franzosa, E. A., Sirota-Madi, A., Avila-Pacheco, J., Fornelos, N., Haiser, H. J., Reinker, S., Vatanen, T., Hall, A. B., Mallick, H., McIver, L. J., et al. (2018) · Nature Microbiology · doi:10.1038/s41564-018-0306-4 · Cited by 1,995 · see citing works
Cell-Type Specific Features of Circular RNA Expression
Salzman, J., Chen, R. E., Olsen, M. N., Wang, P. L., & Brown, P. O. (2013) · PLoS Genetics · doi:10.1371/journal.pgen.1003777 · Cited by 1,955 · see citing works
Population-based metagenomics analysis reveals markers for gut microbiome composition and diversity
Zhernakova, A., Kurilshikov, A., Bonder, M. J., Tigchelaar, E. F., Schirmer, M., Vatanen, T., Mujagic, Z., Vila, A. V., Falony, G., Vieira-Silva, S., et al. (2016) · Science · doi:10.1126/science.aad3369 · Cited by 1,914 · see citing works
Hilton, I. B., D’Ippolito, A. M., Vockley, C. M., Thakore, P. I., Crawford, G. E., Reddy, T. E., & Gersbach, C. A. (2015) · Nature Biotechnology · doi:10.1038/nbt.3199 · Cited by 1,878 · see citing works
Anvi’o: an advanced analysis and visualization platform for ‘omics data
Eren, A. M., Esen, Ö. C., Quince, C., Vineis, J. H., Morrison, H. G., Sogin, M. L., & Delmont, T. O. (2015) · PeerJ · doi:10.7717/peerj.1319 · Cited by 1,823 · see citing works
Cohesin Loss Eliminates All Loop Domains
Rao, S. S. P., Huang, S.-C., Glenn St Hilaire, B., Engreitz, J. M., Perez, E. M., Kieffer-Kwon, K.-R., Sanborn, A. L., Johnstone, S. E., Bascom, G. D., Bochkov, I. D., et al. (2017) · Cell · doi:10.1016/j.cell.2017.09.026 · Cited by 1,883 · see citing works
McCarthy, D. J., Campbell, K. R., Lun, A. T. L., & Wills, Q. F. (2017) · Bioinformatics · doi:10.1093/bioinformatics/btw777 · Cited by 1,852 · see citing works
Fecal microbiota transplant overcomes resistance to anti–PD-1 therapy in melanoma patients
Davar, D., Dzutsev, A. K., McCulloch, J. A., Rodrigues, R. R., Chauvin, J.-M., Morrison, R. M., Deblasio, R. N., Menna, C., Ding, Q., Pagliano, O., et al. (2021) · Science · doi:10.1126/science.abf3363 · Cited by 1,781 · see citing works
Pamudurti, N. R., Bartok, O., Jens, M., Ashwal-Fluss, R., Stottmeister, C., Ruhe, L., Hanan, M., Wyler, E., Perez-Hernandez, D., Ramberger, E., et al. (2017) · Molecular Cell · doi:10.1016/j.molcel.2017.02.021 · Cited by 1,810 · see citing works
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 · see citing works
Zmora, N., Zilberman-Schapira, G., Suez, J., Mor, U., Dori-Bachash, M., Bashiardes, S., Kotler, E., Zur, M., Regev-Lehavi, D., Brik, R. B.-Z., et al. (2018) · Cell · doi:10.1016/j.cell.2018.08.041 · Cited by 1,695 · see citing works
Species-level functional profiling of metagenomes and metatranscriptomes
Franzosa, E. A., McIver, L. J., Rahnavard, G., Thompson, L. R., Schirmer, M., Weingart, G., Lipson, K. S., Knight, R., Caporaso, J. G., Segata, N., et al. (2018) · Nature Methods · doi:10.1038/s41592-018-0176-y · Cited by 1,693 · see citing works
chromVAR: inferring transcription-factor-associated accessibility from single-cell epigenomic data
Schep, A. N., Wu, B., Buenrostro, J. D., & Greenleaf, W. J. (2017) · Nature Methods · doi:10.1038/nmeth.4401 · Cited by 1,680 · see citing works
Treangen, T. J., Ondov, B., Koren, S., & Phillippy, A. M. (2014) · Genome biology · doi:10.1186/s13059-014-0524-x · Cited by 1,632 · see citing works
Improvements to PATRIC, the all-bacterial Bioinformatics Database and Analysis Resource Center
Wattam, A. R., Davis, J. J., Assaf, R., Boisvert, S., Brettin, T. S., Bun, C., Conrad, N. R., Dietrich, E. M., Disz, T. L., Gabbard, J. L., et al. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw1017 · Cited by 1,635 · see citing works
Redefining the invertebrate RNA virosphere
Shī, M., Lin, X., Tian, J.-H., Chen, L., Chen, X., Li, C., Qin, X.-C., Li, J., Cao, J., Eden, J., et al. (2016) · Nature · doi:10.1038/nature20167 · Cited by 1,649 · see citing works
Wu, H., Esteve, E., Tremaroli, V., Khan, M. T., Caesar, R., Mannerås-Holm, L., Ståhlman, M., Olsson, L. M., Serino, M., Planas-Fèlix, M., et al. (2017) · Nature Medicine · doi:10.1038/nm.4345 · Cited by 1,632 · see citing works
TASSEL-GBS: A High Capacity Genotyping by Sequencing Analysis Pipeline
Glaubitz, J. C., Casstevens, T. M., Lü, F., Harriman, J., Elshire, R. J., Sun, Q., & Buckler, E. S. (2014) · PLoS ONE · doi:10.1371/journal.pone.0090346 · Cited by 1,612 · see citing works
Pasolli, E., Asnicar, F., Manara, S., Zolfo, M., Karcher, N., Armanini, F., Beghini, F., Manghi, P., Tett, A., Ghensi, P., et al. (2019) · Cell · doi:10.1016/j.cell.2019.01.001 · Cited by 1,591 · see citing works
A chromosome-based draft sequence of the hexaploid bread wheat ( <i>Triticum aestivum</i> ) genome
The International Wheat Genome Sequencing Consortium (IWGSC), Mayer, K. F. X., Rogers, J., Doležel, J., Pozniak, C., Eversole, K., Feuillet, C., Gill, B., Friebe, B., Lukaszewski, A. J., et al. (2014) · Science · doi:10.1126/science.1251788 · Cited by 1,583 · see citing works
Tumor Microbiome Diversity and Composition Influence Pancreatic Cancer Outcomes
Riquelme, E., Zhang, Y., Zhang, L., Montiel, M., Zoltan, M., Dong, W., Quesada, P., Sahin, I., Chandra, V., San Lucas, A., et al. (2019) · Cell · doi:10.1016/j.cell.2019.07.008 · Cited by 1,577 · see citing works
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 1,560 · see citing works
Skewer: a fast and accurate adapter trimmer for next-generation sequencing paired-end reads
Jiang, H., Lei, R., Ding, S., & Zhu, S. (2014) · BMC Bioinformatics · doi:10.1186/1471-2105-15-182 · Cited by 1,525 · see citing works
Baron, M., Veres, A., Wolock, S. L., Faust, A. L., Gaujoux, R., Vetere, A., Ryu, J. H., Wagner, B. K., Shen-Orr, S. S., Klein, A. M., et al. (2016) · Cell Systems · doi:10.1016/j.cels.2016.08.011 · Cited by 1,508 · see citing works
Shukla, S., Mishra, B., Avashthi, H., & Chandra, M. (2021) · Elsevier eBooks · doi:10.1016/b978-0-323-89775-4.00003-1 · Cited by 1,513 · see citing works
Identification of the tumour transition states occurring during EMT
Pastushenko, I., Brisebarre, A., Sifrim, A., Fioramonti, M., Revenco, T., Boumahdi, S., Keymeulen, A. V., Brown, D. V., Moers, V., Lemaire, S., et al. (2018) · Nature · doi:10.1038/s41586-018-0040-3 · Cited by 1,488 · see citing works
Genome-wide cell-free DNA fragmentation in patients with cancer
Cristiano, S., Leal, A., Phallen, J., Fiksel, J., Adleff, V., Bruhm, D. C., Jensen, S. Ø., Medina, J. E., Hruban, C., White, J. R., et al. (2019) · Nature · doi:10.1038/s41586-019-1272-6 · Cited by 1,476 · see citing works
Next-Generation Digital Information Storage in DNA
Church, G. M., Gao, Y., & Kosuri, S. (2012) · Science · doi:10.1126/science.1226355 · Cited by 1,441 · see citing works
Zimin, A. V., Marçais, G., Puiu, D., Roberts, M., Salzberg, S. L., & Yorke, J. A. (2013) · Bioinformatics · doi:10.1093/bioinformatics/btt476 · Cited by 1,475 · see citing works
Self-citationHuman primary liver cancer–derived organoid cultures for disease modeling and drug screening
Broutier, L., Mastrogiovanni, G., Verstegen, M. M., Francies, H. E., Gavarró, L. M., Bradshaw, C. R., Allen, G. E., Arnes-Benito, R., Sidorova, O., Gaspersz, M. P., et al. (2017) · Nature Medicine · doi:10.1038/nm.4438 · Cited by 1,471 · see citing works
“6) [73] and the output was 1245 preprocessed for variant calling by marking duplicates with Picard (v1.”
Using clusterProfiler to characterize multiomics data
Xu, S., Hu, E., Cai, Y., Xie, Z., Luo, X. M., Zhan, L., Tang, W., Wang, Q., Liu, B., Wang, R., et al. (2024) · Nature Protocols · doi:10.1038/s41596-024-01020-z · Cited by 1,479 · see citing works
Blanco-Míguez, A., Beghini, F., Cumbo, F., McIver, L. J., Thompson, K. N., Zolfo, M., Manghi, P., Dubois, L., Huang, K. D., Thomas, A. M., et al. (2023) · Nature Biotechnology · doi:10.1038/s41587-023-01688-w · Cited by 1,442 · see citing works
Centrifuge: rapid and sensitive classification of metagenomic sequences
Kim, D., Song, L., Breitwieser, F. P., & Salzberg, S. L. (2016) · Genome Research · doi:10.1101/gr.210641.116 · Cited by 1,438 · see citing works
Self-citationYachida, S., Mizutani, S., Shiroma, H., Shiba, S., Nakajima, T., Sakamoto, T., Watanabe, H., Masuda, K., Nishimoto, Y., Kubo, M., et al. (2019) · Nature Medicine · doi:10.1038/s41591-019-0458-7 · Cited by 1,429 · see citing works
Probable Pangolin Origin of SARS-CoV-2 Associated with the COVID-19 Outbreak
Zhang, T., Wu, Q., & Zhang, Z. (2020) · Current Biology · doi:10.1016/j.cub.2020.03.022 · Cited by 1,397 · see citing works
N6-methyladenosine marks primary microRNAs for processing
Alarcón, C. R., Lee, H., Goodarzi, H., Halberg, N., & Tavazoie, S. F. (2015) · Nature · doi:10.1038/nature14281 · Cited by 1,394 · see citing works
Kang, D.-W., Adams, J. B., Gregory, A. C., Borody, T., Chittick, L., Fasano, A., Khoruts, A., Geis, E., Maldonado, J., McDonough-Means, S., et al. (2017) · Microbiome · doi:10.1186/s40168-016-0225-7 · Cited by 1,391 · see citing works
Simultaneous enumeration of cancer and immune cell types from bulk tumor gene expression data
Racle, J., de Jonge, K., Baumgaertner, P., Speiser, D. E., & Gfeller, D. (2017) · eLife · doi:10.7554/elife.26476 · Cited by 1,373 · see citing works
A unified catalog of 204,938 reference genomes from the human gut microbiome
Almeida, A., Nayfach, S., Boland, M., Strozzi, F., Beracochea, M., Shi, Z. J., Pollard, K. S., Sakharova, E., Parks, D. H., Hugenholtz, P., et al. (2021) · Nature Biotechnology · doi:10.1038/s41587-020-0603-3 · Cited by 1,367 · see citing works
Reconstructing lineage hierarchies of the distal lung epithelium using single-cell RNA-seq
Treutlein, B., Brownfield, D. G., Wu, A. R., Neff, N. F., Mantalas, G. L., Espinoza, F. H., Desai, T. J., Krasnow, M. A., & Quake, S. R. (2014) · Nature · doi:10.1038/nature13173 · Cited by 1,342 · see citing works
A large-scale binding and functional map of human RNA-binding proteins
Van Nostrand, E. L., Freese, P., Pratt, G. A., Wang, X., Wei, X., Xiao, R., Blue, S. M., Chen, J.-Y., Cody, N. A. L., Dominguez, D., et al. (2020) · Nature · doi:10.1038/s41586-020-2077-3 · Cited by 1,317 · see citing works
Gosselin, D., Link, V. M., Romanoski, C. E., Fonseca, G. J., Eichenfield, D. Z., Spann, N. J., Stender, J. D., Chun, H. B., Garner, H., Geissmann, F., et al. (2014) · Cell · doi:10.1016/j.cell.2014.11.023 · Cited by 1,307 · see citing works
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 · see citing works
Culturing of ‘unculturable’ human microbiota reveals novel taxa and extensive sporulation
Browne, H. P., Forster, S. C., Anonye, B. O., Kumar, N., Neville, B. A., Stares, M. D., Goulding, D., & Lawley, T. D. (2016) · Nature · doi:10.1038/nature17645 · Cited by 1,299 · see citing works
Ferretti, P., Pasolli, E., Tett, A., Asnicar, F., Gorfer, V., Fedi, S., Armanini, F., Truong, D. T., Manara, S., Zolfo, M., et al. (2018) · Cell Host & Microbe · doi:10.1016/j.chom.2018.06.005 · Cited by 1,292 · see citing works
CRISPRscan: designing highly efficient sgRNAs for CRISPR-Cas9 targeting in vivo
Moreno-Mateos, M. A., Vejnar, C. E., Beaudoin, J.-D., Fernandez, J. P., Mis, E. K., Khokha, M. K., & Giraldez, A. J. (2015) · Nature Methods · doi:10.1038/nmeth.3543 · Cited by 1,290 · see citing works
Striking antibody evasion manifested by the Omicron variant of SARS-CoV-2
Liu, L., Iketani, S., Guo, Y., Chan, J. F.-W., Wang, M., Liu, L., Luo, Y., Chu, H., Huang, Y., Nair, M. S., et al. (2022) · Nature · doi:10.1038/s41586-021-04388-0 · Cited by 1,290 · see citing works
CRISPRdirect: software for designing CRISPR/Cas guide RNA with reduced off-target sites
Naito, Y., Hino, K., Bono, H. U., & Ui‐Tei, K. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu743 · Cited by 1,264 · see citing works
- Authors
- Langmead, B., & Salzberg, S. L.
- Affiliations
- University of Maryland, College Park (US)
- Johns Hopkins University (US)
- Corresponding author
- Langmead, Ben
- Venue
- Nature Methods
- Published
- 2012-03-04
- Volume
- 9
- Issue
- 4
- Pages
- 357-359
- ISSN
- 1548-7091 (ISSN-L)
- 1548-7105
- PMC
- PMC3322381
- OpenAlex
- W2170551349
- Cited by
- 56,400
- References
- 14
- Citations by year
- 2026: 4721 · 2025: 6064 · 2024: 6626 · 2023: 5993 · 2022: 6184 · 2021: 6377 · 2020: 5187 · 2019: 4093 · 2018: 3406 · 2017: 2791 · 2016: 2000 · 2015: 1529 · 2014: 955 · 2013: 385 · 2012: 56
- FWCI
- 376.58
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Methods (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Human Genome Research Institute (R01HG006102, R01HG006677)
- National Institute of General Medical Sciences (R01GM083873)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Physical Sciences › Computer Science › Artificial Intelligence › Algorithms and Data Compression
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Fractal and DNA sequence analysis
- Keywords
- memory-efficient alignment
- MeSH terms
- Algorithms, Humans, Genome, Human, Sequence Alignment, Sequence Analysis, DNA, Computational Biology, Databases, Genetic
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