The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
SPAdes: A New Genome Assembly Algorithm and Its Applications to Single-Cell Sequencing
Open accessAbstract
The lion's share of bacteria in various environments cannot be cloned in the laboratory and thus cannot be sequenced using existing technologies. A major goal of single-cell genomics is to complement gene-centric metagenomic data with whole-genome assemblies of uncultivated organisms. Assembly of single-cell data is challenging because of highly non-uniform read coverage as well as elevated levels of sequencing errors and chimeric reads. We describe SPAdes, a new assembler for both single-cell and standard (multicell) assembly, and demonstrate that it improves on the recently released E+V-SC assembler (specialized for single-cell data) and on popular assemblers Velvet and SoapDeNovo (for multicell data). SPAdes generates single-cell assemblies, providing information about genomes of uncultivatable bacteria that vastly exceeds what may be obtained via traditional metagenomics studies. SPAdes is available online ( http://bioinf.spbau.ru/spades ). It is distributed as open source software.
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.
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
De novo assembly of human genomes with massively parallel short read sequencing
Li, R., Zhu, H., Ruan, J., Qian, W., Fang, X., Shi, Z., Li, Y., Li, S., Shan, G., Kristiansen, K., et al. (2010) · Genome Research · doi:10.1101/gr.097261.109 · Cited by 2,926
Research works printed but not linked: 39
- 10.1074/mcp.M700001-MCP200 · DOI
- 10.1038/nbt1208-1336 · DOI
- 10.1371/journal.pone.0016626 · DOI
- 10.1101/gr.7337908 · DOI
- 10.1101/gr.079053.108 · DOI · Paper page
- 10.1101/gr.7088808 · DOI · Paper page
- 10.1007/978-3-642-23038-7_4 · DOI
- 10.1038/nbt.1966 · DOI
- 10.1038/nbt.2038 · DOI · Paper page
- 10.1101/gr.180501 · DOI · Paper page
- 10.1007/978-3-642-20036-6_5 · DOI
- 10.1101/gr.8.3.175 · DOI
- 10.1038/nbt.1739 · DOI · Paper page
- 10.1126/science.1124234 · DOI · Paper page
- 10.1073/pnas.1017351108 · DOI · Paper page
- 10.1371/journal.pone.0018565 · DOI
- 10.1186/1471-2105-10-S1-S16 · DOI
- 10.1145/585265.585267 · DOI
- 10.1089/cmb.1995.2.291 · DOI · Paper page
- 10.1093/bioinformatics/btq653 · DOI
- 10.1016/j.mib.2008.05.006 · DOI
- 10.1101/gr.110882.110 · DOI · Paper page
- 10.1186/gb-2010-11-11-r116 · DOI
- 10.1126/science.1168243 · DOI · Paper page
- 10.1073/pnas.0704662104 · DOI
- 10.1007/978-3-642-20036-6_22 · DOI
- 10.1093/bioinformatics/btr208 · DOI
- 10.1038/nature09807 · DOI · Paper page
- 10.1007/978-3-642-12683-3_28 · DOI · Paper page
- 10.1093/bioinformatics/17.suppl_1.S225 · DOI
- 10.1101/gr.2395204 · DOI · Paper page
- 10.1073/pnas.171285098 · DOI · Paper page
- 10.1093/bioinformatics/btq465 · DOI
- 10.1371/journal.pone.0006864 · DOI
- 10.1021/cr0301191 · DOI · Paper page
- 10.1101/gr.089532.108 · DOI
- 10.1371/journal.pone.0010314 · DOI
- 10.1128/AEM.06059-11 · DOI
- 10.1101/gr.074492.107 · DOI · Paper page
Cited by
QUAST: quality assessment tool for genome assemblies
Gurevich, A., Saveliev, V., Vyahhi, N., & Tesler, G. (2013) · Bioinformatics · doi:10.1093/bioinformatics/btt086 · Cited by 11,172
Self-citationAssembly of long, error-prone reads using repeat graphs
Kolmogorov, M., Yuan, J., Lin, Y., & Pevzner, P. A. (2019) · Nature Biotechnology · doi:10.1038/s41587-019-0072-8 · Cited by 5,986
Self-citationmetaSPAdes: 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
Self-citationMash: fast genome and metagenome distance estimation using MinHash
Ondov, B. D., Treangen, T. J., Melsted, P., Mallonee, A. B., Bergman, N. H., Koren, S., & Phillippy, A. M. (2016) · Genome biology · doi:10.1186/s13059-016-0997-x · Cited by 3,373
ResFinder 4.0 for predictions of phenotypes from genotypes
Bortolaia, V., Kaas, R. S., Ruppe, E., Roberts, M. C., Schwarz, S., Cattoir, V., Philippon, A., Allesoe, R. L., Rebelo, A. R., Florensa, A. F., et al. (2020) · Journal of Antimicrobial Chemotherapy · doi:10.1093/jac/dkaa345 · Cited by 3,373
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
Shotgun metagenomics, from sampling to analysis
Quince, C., Walker, A. W., Simpson, J. T., Loman, N. J., & Segata, N. (2017) · Nature Biotechnology · doi:10.1038/nbt.3935 · Cited by 2,202
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
Analysis of Fusobacterium persistence and antibiotic response in colorectal cancer
Bullman, S., Pedamallu, C. S., Sicinska, E., Clancy, T. E., Zhang, X., Cai, D., Neuberg, D., Huang, K., Guevara, F., Nelson, T., et al. (2017) · Science · doi:10.1126/science.aal5240 · Cited by 1,574
Immunoglobulin A Coating Identifies Colitogenic Bacteria in Inflammatory Bowel Disease
Palm, N. W., de Zoete, M. R., Cullen, T. W., Barry, N. A., Stefanowski, J., Hao, L., Degnan, P. H., Hu, J., Peter, I., Zhang, W., et al. (2014) · Cell · doi:10.1016/j.cell.2014.08.006 · Cited by 1,286
Single-cell genome sequencing: current state of the science
Gawad, C., Koh, W., & Quake, S. R. (2016) · Nature Reviews Genetics · doi:10.1038/nrg.2015.16 · Cited by 1,334
Complex archaea that bridge the gap between prokaryotes and eukaryotes
Spang, A., Saw, J. H., Jørgensen, S. L., Zaremba-Niedzwiedzka, K., Martijn, J., Lind, A. E., van Eijk, R., Schleper, C., Guy, L., & Ettema, T. J. G. (2015) · Nature · doi:10.1038/nature14447 · Cited by 1,324
A new genomic blueprint of the human gut microbiota
Almeida, A., Mitchell, A. L., Boland, M., Forster, S. C., Gloor, G. B., Tarkowska, A., Lawley, T. D., & Finn, R. D. (2019) · Nature · doi:10.1038/s41586-019-0965-1 · Cited by 1,314
Strains, functions and dynamics in the expanded Human Microbiome Project
Lloyd-Price, J., Mahurkar, A., Rahnavard, G., Crabtree, J., Orvis, J., Hall, A. B., Brady, A., Creasy, H. H., McCracken, C., Giglio, M. G., et al. (2017) · Nature · doi:10.1038/nature23889 · Cited by 1,267
Asgard archaea illuminate the origin of eukaryotic cellular complexity
Zaremba-Niedzwiedzka, K., Caceres, E. F., Saw, J. H., Bäckström, D., Juzokaite, L., Vancaester, E., Seitz, K. W., Anantharaman, K., Starnawski, P., Kjeldsen, K. U., et al. (2017) · Nature · doi:10.1038/nature21031 · Cited by 1,226
Quick, J., Grubaugh, N. D., Pullan, S. T., Claro, I. M., Smith, A. D., Gangavarapu, K., Oliveira, G., Robles-Sikisaka, R., Rogers, T. F., Beutler, N. A., et al. (2017) · Nature Protocols · doi:10.1038/nprot.2017.066 · Cited by 1,190
American Gut: an Open Platform for Citizen-Science Microbiome Research
McDonalda, D., Hyde, E., Debelius, J. W., Morton, J. T., Gonzalez, A., Ackermann, G., Aksenov, A. A., Behsaz, B., Brennan, C., Chen, Y., et al. (2018) · doi:10.1101/277970 · Cited by 878
Self-citationMetaQUAST: evaluation of metagenome assemblies
Mikheenko, A., Saveliev, V., & Gurevich, A. (2016) · Bioinformatics · doi:10.1093/bioinformatics/btv697 · Cited by 711
Self-citationViable SARS-CoV-2 in the air of a hospital room with COVID-19 patients
Lednicky, J. A., Lauzardo, M., Fan, Z. H., Jutla, A., Tilly, T. B., Gangwar, M., Usmani, M., Shankar, S. N., Mohamed, K., Eiguren-Fernandez, A., et al. (2020) · International Journal of Infectious Diseases · doi:10.1016/j.ijid.2020.09.025 · Cited by 683
Florensa, A. F., Kaas, R. S., Clausen, P. T. L. C., Aytan-Aktug, D., & Aarestrup, F. M. (2022) · Microbial Genomics · doi:10.1099/mgen.0.000748 · Cited by 695
Massive expansion of human gut bacteriophage diversity
Camarillo-Guerrero, L. F., Almeida, A., Rangel-Pineros, G., Finn, R. D., & Lawley, T. D. (2021) · Cell · doi:10.1016/j.cell.2021.01.029 · Cited by 594
Piercing the dark matter: bioinformatics of long-range sequencing and mapping
Sedlazeck, F. J., Lee, H., Darby, C. A., & Schatz, M. C. (2018) · Nature Reviews Genetics · doi:10.1038/s41576-018-0003-4 · Cited by 530
Isolation of an archaeon at the prokaryote–eukaryote interface
Imachi, H., Nobu, M. K., Nakahara, N., Morono, Y., Ogawara, M., Takaki, Y., Takano, Y., Uematsu, K., Ikuta, T., Ito, M., et al. (2020) · Nature · doi:10.1038/s41586-019-1916-6 · Cited by 624
Tempo and Mode of Genome Evolution in the Budding Yeast Subphylum
Shen, X.-X., Opulente, D. A., Kominek, J., Zhou, X., Steenwyk, J. L., Buh, K. V., Haase, M. A. B., Wisecaver, J. H., Wang, M., Doering, D. T., et al. (2018) · Cell · doi:10.1016/j.cell.2018.10.023 · Cited by 619
Addetia, A., Crawford, K. H. D., Dingens, A., Zhu, H., Roychoudhury, P., Huang, M.-L., Jerome, K. R., Bloom, J. D., & Greninger, A. L. (2020) · Journal of Clinical Microbiology · doi:10.1128/jcm.02107-20 · Cited by 525
Federici, S., Kredo-Russo, S., Valdés-Mas, R., Kviatcovsky, D., Weinstock, E., Matiuhin, Y., Silberberg, Y., Atarashi, K., Furuichi, M., Oka, A., et al. (2022) · Cell · doi:10.1016/j.cell.2022.07.003 · Cited by 542
Nagarajan, N., & Pop, M. (2013) · Nature Reviews Genetics · doi:10.1038/nrg3367 · Cited by 474
Case, J. B., Rothlauf, P. W., Chen, R. E., Liu, Z., Zhao, H., Kim, A. S., Bloyet, L.-M., Zeng, Q., Tahan, S., Droit, L., et al. (2020) · Cell Host & Microbe · doi:10.1016/j.chom.2020.06.021 · Cited by 410
Muñoz, J. F., Gade, L., Chow, N. A., Loparev, V. N., Juieng, P., Berkow, E. L., Farrer, R. A., Litvintseva, A. P., & Cuomo, C. A. (2018) · Nature Communications · doi:10.1038/s41467-018-07779-6 · Cited by 458
Adaptive Evolution within Gut Microbiomes of Healthy People
Zhao, S., Lieberman, T. D., Poyet, M., Kauffman, K. M., Gibbons, S. M., Groussin, M., Xavier, R. J., & Alm, E. J. (2019) · Cell Host & Microbe · doi:10.1016/j.chom.2019.03.007 · Cited by 434
Effects of microbiota-directed foods in gnotobiotic animals and undernourished children
Gehrig, J. L., Venkatesh, S., Chang, H.-W., Hibberd, M. C., Kung, V. L., Cheng, J., Chen, R. Y., Subramanian, S., Cowardin, C. A., Meier, M. F., et al. (2019) · Science · doi:10.1126/science.aau4732 · Cited by 431
The widespread IS200/IS605 transposon family encodes diverse programmable RNA-guided endonucleases
Altae-Tran, H., Kannan, S., Demircioglu, F. E., Oshiro, R., Nety, S. P., McKay, L. J., Dlakić, M., Inskeep, W. P., Makarova, K. S., Macrae, R. K., et al. (2021) · Science · doi:10.1126/science.abj6856 · Cited by 407
An expanded arsenal of immune systems that protect bacteria from phages
Millman, A., Melamed, S., Leavitt, A., Doron, S., Bernheim, A., Hör, J., Garb, J., Bechon, N., Brandis, A., Lopatina, A., et al. (2022) · Cell Host & Microbe · doi:10.1016/j.chom.2022.09.017 · Cited by 428
Cross-reactivity between tumor MHC class I–restricted antigens and an enterococcal bacteriophage
Fluckiger, A., Daillère, R., Sassi, M., Sixt, B. S., Liu, P., Loos, F., Richard, C., Rabu, C., Alou, M. T., Goubet, A.-G., et al. (2020) · Science · doi:10.1126/science.aax0701 · Cited by 396
Illumina error profiles: resolving fine-scale variation in metagenomic sequencing data
Schirmer, M., D’Amore, R., Ijaz, U. Z., Hall, N., & Quince, C. (2016) · BMC Bioinformatics · doi:10.1186/s12859-016-0976-y · Cited by 376
Tørresen, O. K., Star, B., Mier, P., Andrade-Navarro, M. A., Bateman, A., Jarnot, P., Gruca, A., Grynberg, M., Kajava, A. V., Promponas, V. J., et al. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz841 · Cited by 347
Bifidobacterium adolescentis as a key member of the human gut microbiota in the production of GABA
Duranti, S., Ruiz, L., Lugli, G. A., Tames, H., Milani, C., Mancabelli, L., Mancino, W., Longhi, G., Carnevali, L., Sgoifo, A., et al. (2020) · Scientific Reports · doi:10.1038/s41598-020-70986-z · Cited by 341
Duranti, S., Lugli, G. A., Mancabelli, L., Armanini, F., Turroni, F., James, K., Ferretti, P., Gorfer, V., Ferrario, C., Milani, C., et al. (2017) · Microbiome · doi:10.1186/s40168-017-0282-6 · Cited by 327
Lee, S.-H., Cho, S.-Y., Yoon, Y., Park, C., Sohn, J., Jeong, J.-J., Jeon, B.-N., Jang, M., An, C., Lee, S., et al. (2021) · Nature Microbiology · doi:10.1038/s41564-020-00831-6 · Cited by 325
Pérez-Cobas, A. E., Gomez-Valero, L., & Buchrieser, C. (2020) · Microbial Genomics · doi:10.1099/mgen.0.000409 · Cited by 314
Wand, M. E., Bock, L. J., Bonney, L. C., & Sutton, J. M. (2017) · Antimicrobial Agents and Chemotherapy · doi:10.1128/aac.01162-16 · Cited by 313
High-throughput, single-microbe genomics with strain resolution, applied to a human gut microbiome
Zheng, W., Zhao, S., Yin, Y., Zhang, H., Needham, D. M., Evans, E. D., Dai, C. L., Lu, P. J., Alm, E. J., & Weitz, D. A. (2022) · Science · doi:10.1126/science.abm1483 · Cited by 283
“Within each SAG, we assemble the reads de novo with overlapping regions into contigs (53)—longer contiguous sequences of bases— and the resulting set of contigs forms that SAG’s partial genome, which we expect from the mock sample to cover only a few percent of the total genome, somewhat less than the coverage of the…”
MethodInfluentialYe, C., Hill, C. M., Wu, S., Ruan, J., & Ma, Z. (2016) · Scientific Reports · doi:10.1038/srep31900 · Cited by 304
Nutritional preferences of human gut bacteria reveal their metabolic idiosyncrasies
Tramontano, M., Andrejev, S., Pruteanu, M., Klünemann, M., Kuhn, M., Galardini, M., Jouhten, P., Zelezniak, A., Zeller, G., Bork, P., et al. (2018) · Nature Microbiology · doi:10.1038/s41564-018-0123-9 · Cited by 295
Mobile genes in the human microbiome are structured from global to individual scales
Brito, I. L., Yilmaz, S., Huang, K., Xu, L., Jupiter, S. D., Jenkins, A. P., Naisilisili, W., Tamminen, M., Smillie, C. S., Wortman, J. R., et al. (2016) · Nature · doi:10.1038/nature18927 · Cited by 288
Williams, M. R., Costa, S. K., Zaramela, L. S., Khalil, S., Todd, D. A., Winter, H. L., Sanford, J. A., O’Neill, A. M., Liggins, M. C., Nakatsuji, T., et al. (2019) · Science Translational Medicine · doi:10.1126/scitranslmed.aat8329 · Cited by 292
Assessing species biomass contributions in microbial communities via metaproteomics
Kleiner, M., Thorson, E., Sharp, C. E., Dong, X., Liu, D., Li, C., & Strous, M. (2017) · Nature Communications · doi:10.1038/s41467-017-01544-x · Cited by 291
Engineered phage with antibacterial CRISPR–Cas selectively reduce E. coli burden in mice
Gencay, Y. E., Jasinskytė, D., Robert, C., Semsey, S., Martínez, V., Petersen, A. Ø., Brunner, K., de Santiago Torio, A., Salazar, A., Turcu, I. C., et al. (2024) · Nature Biotechnology · doi:10.1038/s41587-023-01759-y · Cited by 282
A marine bacterial community capable of degrading poly(ethylene terephthalate) and polyethylene
Gao, R., & Sun, C. (2021) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2021.125928 · Cited by 279
Zaheer, R., Cook, S. R., Barbieri, R., Goji, N., Cameron, A., Petkau, A., Polo, R. O., Tymensen, L., Stamm, C., Song, J., et al. (2020) · Scientific Reports · doi:10.1038/s41598-020-61002-5 · Cited by 262
Infection trains the host for microbiota-enhanced resistance to pathogens
Stacy, A., Andrade-Oliveira, V., McCulloch, J. A., Hild, B., Oh, J. H., Perez-Chaparro, P. J., Sim, C. K., Lim, A. I., Link, V. M., Enamorado, M., et al. (2021) · Cell · doi:10.1016/j.cell.2020.12.011 · Cited by 239
GraphAligner: rapid and versatile sequence-to-graph alignment
Rautiainen, M., & Marschall, T. (2020) · Genome Biology · doi:10.1186/s13059-020-02157-2 · Cited by 242
Vollmers, J., Wiegand, S., & Kaster, A.-K. (2017) · PLoS ONE · doi:10.1371/journal.pone.0169662 · Cited by 240
Lahra, M. M., Martin, I., Demczuk, W., Jennison, A. V., Lee, K.-I., Nakayama, S.-I., Lefebvre, B., Longtin, J., Ward, A., Mulvey, M. R., et al. (2018) · Emerging Infectious Diseases · doi:10.3201/eid2404.171873 · Cited by 239
Gole, J., Gore, A., Richards, A., Chiu, Y.-J., Fung, H.-L., Bushman, D., Chiang, H.-I., Chun, J., Lo, Y.-H., & Zhang, K. (2013) · Nature Biotechnology · doi:10.1038/nbt.2720 · Cited by 238
A marine fungus Alternaria alternata FB1 efficiently degrades polyethylene
Gao, R., Liu, R., & Sun, C. (2022) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2022.128617 · Cited by 235
Sanchez, K. K., Chen, G. Y., Schieber, A. M. P., Redford, S. E., Shokhirev, M. N., Leblanc, M., Lee, Y. M., & Ayres, J. S. (2018) · Cell · doi:10.1016/j.cell.2018.07.016 · Cited by 175
“1) (Bankevich et al., 2012) then contigs were reordered and aligned against the ICC168 chromosome using MAUVE genome alignment software (version 2.”
Large-scale comparative metagenomics of Blastocystis, a common member of the human gut microbiome
Beghini, F., Pasolli, E., Truong, T. D., Putignani, L., Cacciò, S. M., & Segata, N. (2017) · The ISME Journal · doi:10.1038/ismej.2017.139 · Cited by 201
Worby, C. J., Schreiber, H. L., Straub, T. J., van Dijk, L. R., Bronson, R. A., Olson, B. S., Pinkner, J. S., Obernuefemann, C. L. P., Muñoz, V. L., Paharik, A. E., et al. (2022) · Nature Microbiology · doi:10.1038/s41564-022-01107-x · Cited by 188
Niche partitioning of diverse sulfur-oxidizing bacteria at hydrothermal vents.
Meier, D. V., Pjevac, P., Bach, W., Hourdez, S., Girguis, P. R., Vidoudez, C., Amann, R., & Meyerdierks, A. (2017) · The ISME Journal · doi:10.1038/ismej.2017.37 · Cited by 177
The Milieu Intérieur Consortium, Scepanovic, P., Hodel, F., Mondot, S., Partula, V., Byrd, A., Hammer, C., Alanio, C., Bergstedt, J., Patin, E., et al. (2019) · Microbiome · doi:10.1186/s40168-019-0747-x · Cited by 171
Leonard, M. M., Valitutti, F., Karathia, H., Pujolassos, M., Kenyon, V., Fanelli, B., Troisi, J., Subramanian, P., Camhi, S., Colucci, A., et al. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2020322118 · Cited by 162
A gut microbial signature for combination immune checkpoint blockade across cancer types
Gunjur, A., Shao, Y., Rozday, T., Klein, O., Mu, A., Haak, B. W., Markman, B., Kee, D., Carlino, M. S., Underhill, C., et al. (2024) · Nature Medicine · doi:10.1038/s41591-024-02823-z · Cited by 165
Extensive loss of cell-cycle and DNA repair genes in an ancient lineage of bipolar budding yeasts
Steenwyk, J. L., Opulente, D. A., Kominek, J., Shen, X.-X., Zhou, X., Labella, A. L., Bradley, N. P., Eichman, B. F., Čadež, N., Libkind, D., et al. (2019) · PLoS Biology · doi:10.1371/journal.pbio.3000255 · Cited by 162
A comprehensive evaluation of long read error correction methods
Zhang, H., Jain, C., & Aluru, S. (2020) · BMC Genomics · doi:10.1186/s12864-020-07227-0 · Cited by 150
Non-photosynthetic predators are sister to red algae
Gawryluk, R. M. R., Tikhonenkov, D. V., Hehenberger, E., Husnik, F., Mylnikov, A. P., & Keeling, P. J. (2019) · Nature · doi:10.1038/s41586-019-1398-6 · Cited by 148
Gaborieau, B., Vaysset, H., Tesson, F., Charachon, I., Dib, N., Bernier, J., Dequidt, T., Georjon, H., Clermont, O., Hersen, P., et al. (2024) · Nature Microbiology · doi:10.1038/s41564-024-01832-5 · Cited by 141
Brown, S. D., Nagaraju, S., Utturkar, S., De Tissera, S., Segovia, S., Mitchell, W., Land, M. L., Dassanayake, A., & Köpke, M. (2014) · Biotechnology for Biofuels · doi:10.1186/1754-6834-7-40 · Cited by 145
Engelthaler, D. M., Hicks, N. D., Gillece, J. D., Roe, C. C., Schupp, J. M., Driebe, E. M., Gilgado, F., Carriconde, F., Trilles, L., Firacative, C., et al. (2014) · mBio · doi:10.1128/mbio.01464-14 · Cited by 133
A survey of k-mer methods and applications in bioinformatics
Moeckel, C., Mareboina, M., Konnaris, M. A., Chan, C. S. Y., Mouratidis, I., Montgomery, A., Chantzi, N., Pavlopoulos, G. A., & Georgakopoulos-Soares, I. (2024) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2024.05.025 · Cited by 131
“In de novo genome assemblers such as SPAdes [75] and multiple others [76], a common approach is to first divide sequencing reads into k-mers and use each unique k-mer to represent a node in a De Brujin Graph [77].”
MethodYan, M., Treu, L., Campanaro, S., Tian, H., Zhu, X., Khoshnevisan, B., Tsapekos, P., Angelidaki, I., & Fotidis, I. A. (2020) · Chemical Engineering Journal · doi:10.1016/j.cej.2020.126159 · Cited by 128
Muñoz-Gómez, S. A., Susko, E., Williamson, K., Eme, L., Slamovits, C. H., Moreira, D., López-García, P., & Roger, A. J. (2022) · Nature Ecology & Evolution · doi:10.1038/s41559-021-01638-2 · Cited by 111
Complete genome sequence and comparative genomics of the probiotic yeast Saccharomyces boulardii
Khatri, I., Tomar, R., Ganesan, K., Prasad, G. S., & Subramanian, S. (2017) · Scientific Reports · doi:10.1038/s41598-017-00414-2 · Cited by 123
Genomic factors shape carbon and nitrogen metabolic niche breadth across Saccharomycotina yeasts
Opulente, D. A., LaBella, A. L., Harrison, M.-C., Wolters, J. F., Liu, C., Li, Y., Kominek, J., Steenwyk, J. L., Stoneman, H. R., VanDenAvond, J., et al. (2024) · Science · doi:10.1126/science.adj4503 · Cited by 121
From Omics to Multi-Omics: A Review of Advantages and Tradeoffs
Hayes, C. N., Nakahara, H., Ono, A., Tsuge, M., & Oka, S. (2024) · Genes · doi:10.3390/genes15121551 · Cited by 119
Baccouri, O., Boukerb, A. M., Farhat, L. B., Zébré, A., Zimmermann, K., Domann, E., Cambronel, M., Barreau, M., Maillot, O., Rincé, I., et al. (2019) · Frontiers in Microbiology · doi:10.3389/fmicb.2019.00881 · Cited by 117
“Sequence data quality was checked using FastQC v.0.11.6.1 Assembly of paired-end reads was done de novo using Spades software package v.3.12.0 (Bankevich et al., 2012) using its in-build read error correction functionality of BayesHammer (Nikolenko et al., 2013) by setting the “carefull” option,…”
MethodInfluentialMuñoz-Gómez, S. A., Mejía-Franco, F. G., Durnin, K., Colp, M., Grisdale, C. J., Archibald, J. M., & Slamovits, C. H. (2017) · Current Biology · doi:10.1016/j.cub.2017.04.054 · Cited by 114
Genetic determinants of host tropism in Klebsiella phages
Beamud, B., García-González, N., Gómez-Ortega, M., González-Candelas, F., Domingo-Calap, P., & Sanjuan, R. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.112048 · Cited by 113
Support for a clade of Placozoa and Cnidaria in genes with minimal compositional bias
Laumer, C. E., Gruber-Vodicka, H., Hadfield, M. G., Pearse, V. B., Riesgo, A., Marioni, J. C., & Giribet, G. (2018) · eLife · doi:10.7554/elife.36278 · Cited by 112
Exploring bacterial diversity via a curated and searchable snapshot of archived DNA sequences
Blackwell, G. A., Hunt, M., Malone, K. M., Lima, L., Horesh, G., Alako, B. T. F., Thomson, N. R., & Iqbal, Z. (2021) · PLOS Biology · doi:10.1371/journal.pbio.3001421 · Cited by 111
Advancements toward a systems level understanding of the human oral microbiome
McLean, J. S. (2014) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2014.00098 · Cited by 108
Experimental Evaluation of Host Adaptation of Lactobacillus reuteri to Different Vertebrate Species
Duar, R. M., Frese, S. A., Lin, X. B., Fernando, S. C., Burkey, T. E., Tasseva, G., Peterson, D. A., Blom, J., Wenzel, C. Q., Szymanski, C. M., et al. (2017) · Applied and Environmental Microbiology · doi:10.1128/aem.00132-17 · Cited by 104
Becker, A., Schmartz, G. P., Gröger, L., Grammes, N., Galata, V., Philippeit, H., Weiland, J., Ludwig, N., Meese, E., Tierling, S., et al. (2022) · Genomics, Proteomics & Bioinformatics · doi:10.1016/j.gpb.2021.08.009 · Cited by 102
Early-life gut microbiome modulation reduces the abundance of antibiotic-resistant bacteria
Casaburi, G., Duar, R. M., Vance, D. P., Mitchell, R., Contreras, L., Frese, S. A., Smilowitz, J. T., & Underwood, M. A. (2019) · Antimicrobial Resistance & Infection Control · doi:10.1186/s13756-019-0583-6 · Cited by 101
Kunisch, F., Campobasso, C., Wagemans, J., Yildirim, S., Chan, B. K., Schaudinn, C., Lavigne, R., Turner, P. E., Raschke, M. J., Trampuz, A., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-52595-w · Cited by 101
Re-assembly, quality evaluation, and annotation of 678 microbial eukaryotic reference transcriptomes
Johnson, L. K., Alexander, H., & Brown, C. T. (2019) · GigaScience · doi:10.1093/gigascience/giy158 · Cited by 94
Jackson, C., Knoll, A. H., Chan, C. X., & Verbruggen, H. (2018) · Scientific Reports · doi:10.1038/s41598-017-18805-w · Cited by 99
Kirmiz, N., Galindo, K., Cross, K. L., Luna, E., Rhoades, N., Podar, M., & Flores, G. E. (2020) · Applied and Environmental Microbiology · doi:10.1128/aem.02117-19 · Cited by 94
Tamburini, F. B., Maghini, D., Oduaran, O. H., Brewster, R., Hulley, M. R., Sahibdeen, V., Norris, S. A., Tollman, S., Kahn, K., Wagner, R. G., et al. (2022) · Nature Communications · doi:10.1038/s41467-021-27917-x · Cited by 88
Schmid, M., Frei, D., Patrignani, A., Schlapbach, R., Frey, J. E., Remus-Emsermann, M. N. P., & Ahrens, C. H. (2018) · Nucleic Acids Research · doi:10.1093/nar/gky726 · Cited by 92
Yip, A. Y. G., King, O. G., Omelchenko, O., Kurkimat, S., Horrocks, V., Mostyn, P., Danckert, N., Ghani, R., Satta, G., Jauneikaite, E., et al. (2023) · doi:10.1101/2023.03.25.533086 · Cited by 91
A combined meta-barcoding and shotgun metagenomic analysis of spontaneous wine fermentation
Sternes, P. R., Lee, D., Kutyna, D. R., & Borneman, A. R. (2017) · GigaScience · doi:10.1093/gigascience/gix040 · Cited by 91
Djukovic, A., Garzón, M. J., Canlet, C., Cabral, V., Lalaoui, R., García-Garcerá, M., Rechenberger, J., Tremblay-Franco, M., Peñaranda, I., Puchades-Carrasco, L., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-33313-w · Cited by 85
Méndez, V., Holland, S., Bhardwaj, S., McDonald, J., Khan, S., O'Carroll, D., Pickford, R., Richards, S., O'Farrell, C., Coleman, N., et al. (2022) · Science of The Total Environment · doi:10.1016/j.scitotenv.2022.154587 · Cited by 85
Cicconardi, F., Milanetti, E., Pinheiro de Castro, E. C., Mazo-Vargas, A., Van Belleghem, S. M., Ruggieri, A. A., Rastas, P., Hanly, J., Evans, E., Jiggins, C. D., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-41412-5 · Cited by 81
Colonization of the human gut by bovine bacteria present in Parmesan cheese
Milani, C., Duranti, S., Napoli, S., Alessandri, G., Mancabelli, L., Anzalone, R., Longhi, G., Viappiani, A., Mangifesta, M., Lugli, G. A., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-09303-w · Cited by 78
Ancient DNA analysis identifies marine mollusc shells as new metagenomic archives of the past
Der Sarkissian, C., Pichereau, V., Dupont, C., Ilsøe, P. C., Perrigault, M., Butler, P., Chauvaud, L., Eiríksson, J., Scourse, J., Paillard, C., et al. (2017) · Molecular Ecology Resources · doi:10.1111/1755-0998.12679 · Cited by 78
Yinda, C. K., Vanhulle, E., Conceição-Neto, N., Beller, L., Deboutte, W., Shi, C., Ghogomu, S. M., Maes, P., Van Ranst, M., & Matthijnssens, J. (2019) · mSphere · doi:10.1128/msphere.00585-18 · Cited by 75
Metadata
- Authors
- Bankevich, A., Nurk, S., Antipov, D., Gurevich, A. A., Dvorkin, M., Kulikov, A. S., Lesin, V. M., Nikolenko, S. I., Pham, S., Prjibelski, A. D., Pyshkin, A. V., Sirotkin, A. V., Vyahhi, N., Tesler, G., Alekseyev, M. A., & Pevzner, P. A.
- Venue
- Journal of Computational Biology
- Publisher
- SAGE Publications
- Published
- 2012-05
- Volume
- 19
- Issue
- 5
- Pages
- 455-477
- ISSN
- 1066-5277 (ISSN-L)
- 1557-8666
- OpenAlex
- W2120902911
- Cited by
- 25,987
- References
- 1
- FWCI
- 77.60
- Type
- journal article
- Language
- en
- Open access
- green
- Licence
- journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.