metaSPAdes: a new versatile metagenomic assembler
Open accessAbstract
While metagenomics has emerged as a technology of choice for analyzing bacterial populations, the assembly of metagenomic data remains challenging, thus stifling biological discoveries. Moreover, recent studies revealed that complex bacterial populations may be composed from dozens of related strains, thus further amplifying the challenge of metagenomic assembly. metaSPAdes addresses various challenges of metagenomic assembly by capitalizing on computational ideas that proved to be useful in assemblies of single cells and highly polymorphic diploid genomes. We benchmark metaSPAdes against other state-of-the-art metagenome assemblers and demonstrate that it results in high-quality assemblies across diverse data sets.
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metaSPAdes is MGnify's primary assembly algorithm because the ensuing assemblies are typically of better quality than those produced using other assemblers.
“Assembly is a computationally expensive process, frequently requiring terabytes of memory to accomplish when using metaSPAdes (20), which is our primary assembly algorithm, as the ensuing assemblies are typically of better quality than those produced using other assemblers (21).”
From MGnify: the microbiome analysis resource in 2020 (2019) · cites this paper as [20]
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Cites
Fast gapped-read alignment with Bowtie 2
Langmead, B., & Salzberg, S. L. (2012) · Nature Methods · doi:10.1038/nmeth.1923 · Cited by 56,400 · see citing works
SPAdes: A New Genome Assembly Algorithm and Its Applications to Single-Cell Sequencing
Bankevich, A., Nurk, S., Antipov, D., Gurevich, A. A., Dvorkin, M. V., Kulikov, A. S., Lesin, V. M., Nikolenko, S., Pham, S., Prjibelski, A. D., et al. (2012) · Journal of Computational Biology · doi:10.1089/cmb.2012.0021 · Cited by 25,691 · see citing works
Self-citationStructure, function and diversity of the healthy human microbiome
The Human Microbiome Project Consortium (2012) · Nature · doi:10.1038/nature11234 · Cited by 11,726 · see citing works
Cd-hit: Accelerated for clustering the next-generation sequencing data
Fu, L., Niu, B., Zhu, Z., Wu, S., & Li, W. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts565 · Cited by 11,175 · see citing works
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 · see citing works
Cd-hit: a fast program for clustering and comparing large sets of protein or nucleotide sequences
Li, W.-Z., & Godzik, A. (2006) · Bioinform. · doi:10.1093/bioinformatics/btl158 · Cited by 10,994 · 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
Velvet: Algorithms for de novo short read assembly using de Bruijn graphsPreprint
Zerbino, D. R., & Birney, E. (2008) · Genome Research · doi:10.1101/gr.074492.107 · Cited by 9,387 · see citing works
Enterotypes of the human gut microbiome
MetaHIT Consortium (additional members), Arumugam, M., Raes, J., Pelletier, E., Le Paslier, D., Yamada, T., Mende, D. R., Fernandes, G. R., Tap, J., Bruls, T., et al. (2011) · Nature · doi:10.1038/nature09944 · Cited by 7,548 · see citing works
Turnbaugh, P. J., Ley, R. E., Hamady, M., Fraser-Liggett, C. M., Knight, R., & Gordon, J. I. (2007) · Nature · doi:10.1038/nature06244 · Cited by 6,091 · see citing works
Environmental genome shotgun sequencing of the sargasso sea
Venter, J. C., Remington, K., Heidelberg, J. F., Halpern, A. L., Rusch, D., Eisen, J. A., Wu, D., Paulsen, I., Nelson, K. E., Nelson, W., et al. (2004) · Science · doi:10.1126/science.1093857 · Cited by 4,376 · see citing works
Peng, Y., Leung, H. C. M., Yiu, S., & Chin, F. Y. L. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts174 · Cited by 2,997 · see citing works
Community structure and metabolism through reconstruction of microbial genomes from the environment
Tyson, G. W., Chapman, J., Hugenholtz, P., Allen, E. E., Ram, R. J., Richardson, P. M., Solovyev, V. V., Rubin, E. M., Rokhsar, D. S., & Banfield, J. F. (2004) · Nature · doi:10.1038/nature02340 · Cited by 2,417 · 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
The Draft Genome of <i>Ciona intestinalis</i> : Insights into Chordate and Vertebrate Origins
Dehal, P., Satou, Y., Campbell, R. K., Chapman, J., Degnan, B., De Tomaso, A., Davidson, B., Di Gregorio, A., Gelpke, M., Goodstein, D. M., et al. (2002) · Science · doi:10.1126/science.1080049 · Cited by 1,641 · see citing works
Whole-Genome Shotgun Assembly and Analysis of the Genome of <i>Fugu rubripes</i>
Aparicio, S., Chapman, J., Stupka, E., Putnam, N., Chia, J.-M., Dehal, P., Christoffels, A., Rash, S., Hoon, S., Smit, A., et al. (2002) · Science · doi:10.1126/science.1072104 · Cited by 1,591 · see citing works
A Whole-Genome Assembly of Drosophila
Myers, E. W., Sutton, G. G., Delcher, A. L., Dew, I. M., Fasulo, D., Flanigan, M. J., Kravitz, S. A., Mobarry, C. M., Reinert, K., Remington, K., et al. (2000) · Science · doi:10.1126/science.287.5461.2196 · Cited by 1,533 · see citing works
Assembling Single-Cell Genomes and Mini-Metagenomes From Chimeric MDA Products
Nurk, S., Bankevich, A., Antipov, D., Gurevich, A. A., Korobeynikov, A., Lapidus, A. L., Prjibelski, A. D., Pyshkin, A., Sirotkin, A., Sirotkin, Y., et al. (2013) · Journal of Computational Biology · doi:10.1089/cmb.2013.0084 · Cited by 1,332 · see citing works
Self-citationMetagenomic discovery of biomass-degrading genes and genomes from cow rumen
Hess, M., Sczyrba, A., Egan, R., Kim, T.-W., Chokhawala, H., Schroth, G., Luo, S., Clark, D. S., Chen, F., Zhang, T., et al. (2011) · Science · doi:10.1126/science.1200387 · Cited by 1,319 · see citing works
Efficient de novo assembly of highly heterozygous genomes from whole-genome shotgun short reads
Kajitani, R., Toshimoto, K., Noguchi, H., Toyoda, A., Ogura, Y., Okuno, M., Yabana, M., Harada, M., Nagayasu, E., Maruyama, H., et al. (2014) · Genome Research · doi:10.1101/gr.170720.113 · Cited by 1,017 · see citing works
The Sorcerer II Global Ocean Sampling Expedition: Expanding the Universe of Protein Families
Yooseph, S., Sutton, G., Rusch, D. B., Halpern, A. L., Williamson, S. J., Remington, K., Eisen, J. A., Heidelberg, K. B., Manning, G., Li, W., et al. (2007) · PLoS Biology · doi:10.1371/journal.pbio.0050016 · Cited by 905 · see citing works
MetaQUAST: evaluation of metagenome assemblies
Mikheenko, A., Saveliev, V., & Gurevich, A. (2016) · Bioinformatics · doi:10.1093/bioinformatics/btv697 · Cited by 711 · see citing works
Wu, Y., Tang, Y.-H., Tringe, S. G., Simmons, B. A., & Singer, S. W. (2014) · Microbiome · doi:10.1186/2049-2618-2-26 · Cited by 708 · see citing works
GAGE: A critical evaluation of genome assemblies and assembly algorithmsPreprint
Salzberg, S. L., Phillippy, A. M., Zimin, A. V., Puiu, D., Magoč, T., Koren, S., Treangen, T. J., Schatz, M. C., Delcher, A. L., Roberts, M., et al. (2011) · Genome Research · doi:10.1101/gr.131383.111 · Cited by 680 · see citing works
Namiki, T., Hachiya, T., Tanaka, H. L., & Sakakibara, Y. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks678 · Cited by 677 · see citing works
hybrid SPA des : an algorithm for hybrid assembly of short and long reads
Antipov, D., Korobeynikov, A., McLean, J. S., & Pevzner, P. A. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btv688 · Cited by 661 · see citing works
Self-citationGene and translation initiation site prediction in metagenomic sequences
Hyatt, D., LoCascio, P. F., Hauser, L., & Uberbacher, E. C. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts429 · Cited by 655 · see citing works
Hug, L. A., Castelle, C. J., Wrighton, K. C., Thomas, B. C., Sharon, I., Frischkorn, K. R., Williams, K. H., Tringe, S. G., & Banfield, J. F. (2013) · Microbiome · doi:10.1186/2049-2618-1-22 · Cited by 643 · see citing works
Prochlorococcus: the structure and function of collective diversity
Biller, S. J., Berube, P. M., Lindell, D., & Chisholm, S. W. (2014) · Nature Reviews Microbiology · doi:10.1038/nrmicro3378 · Cited by 602 · see citing works
Ray Meta: scalable de novo metagenome assembly and profiling
Boisvert, S., Raymond, F., Godzaridis, É., Laviolette, F., & Corbeil, J. (2012) · Genome biology · doi:10.1186/gb-2012-13-12-r122 · Cited by 593 · see citing works
Community-wide analysis of microbial genome sequence signatures
Dick, G. J., Andersson, A. F., Baker, B. J., Simmons, S. L., Thomas, B. C., Yelton, A. P., & Banfield, J. F. (2009) · Genome biology · doi:10.1186/gb-2009-10-8-r85 · Cited by 537 · see citing works
Single-Cell Genomics Reveals Hundreds of Coexisting Subpopulations in Wild Prochlorococcus
Kashtan, N., Roggensack, S. E., Rodrigue, S., Berta-Thompson, J. W., Biller, S. J., Coe, A., Ding, H., Marttinen, P., Malmstrom, R. R., Stocker, R., et al. (2014) · Science · doi:10.1126/science.1248575 · Cited by 526 · see citing works
Genomic insights to SAR86, an abundant and uncultivated marine bacterial lineage
Dupont, C. L., Rusch, D. B., Yooseph, S., Lombardo, M., Richter, R. A., Valas, R. E., Novotny, M. A., Yee-Greenbaum, J. L., Selengut, J., Haft, D. H., et al. (2011) · The ISME Journal · doi:10.1038/ismej.2011.189 · Cited by 522 · see citing works
Nagarajan, N., & Pop, M. (2013) · Nature Reviews Genetics · doi:10.1038/nrg3367 · Cited by 474 · see citing works
MetaSim—A Sequencing Simulator for Genomics and Metagenomics
Richter, D. C., Ott, F., Auch, A. F., Schmid, R., & Huson, D. H. (2008) · PLoS ONE · doi:10.1371/journal.pone.0003373 · Cited by 470 · see citing works
Ashton, P., Nair, S., Dallman, T. J., Rubino, S., Rabsch, W., Mwaigwisya, S., Wain, J. R., & O’Grady, J. (2014) · Nature Biotechnology · doi:10.1038/nbt.3103 · Cited by 462 · see citing works
Untangling Genomes from Metagenomes: Revealing an Uncultured Class of Marine Euryarchaeota
Iverson, V., Morris, R. M., Frazar, C. D., Berthiaume, C. T., Morales, R. L., & Armbrust, E. V. (2012) · Science · doi:10.1126/science.1212665 · Cited by 457 · see citing works
Use of simulated data sets to evaluate the fidelity of metagenomic processing methods
Mavromatis, K., Ivanova, N., Barry, K., Shapiro, H., Goltsman, E., McHardy, A. C., Rigoutsos, I., Salamov, A. A., Korzeniewski, F., Land, M., et al. (2007) · Nature Methods · doi:10.1038/nmeth1043 · Cited by 350 · see citing works
Meta-IDBA: a de Novo assembler for metagenomic data
Peng, Y., Leung, H. C. M., Yiu, S., & Chin, F. Y. L. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr216 · Cited by 326 · see citing works
Assessment of Metagenomic Assembly Using Simulated Next Generation Sequencing Data
Mende, D. R., Waller, A. S., Sunagawa, S., Järvelin, A. I., Chan, M. M., Arumugam, M., Raes, J., & Peer Bork, B. (2012) · PLoS ONE · doi:10.1371/journal.pone.0031386 · Cited by 305 · see citing works
Single-cell genomics-based analysis of virus–host interactions in marine surface bacterioplankton
Labonté, J., Swan, B. K., Poulos, B. T., Luo, H., Koren, S., Hallam, S., Sullivan, M. B., Woyke, T., Wommack, K. E., & Stepanauskas, R. (2015) · The ISME Journal · doi:10.1038/ismej.2015.48 · Cited by 241 · see citing works
De Novo Repeat Classification and Fragment AssemblyPreprint
Pevzner, P. A., Tang, H., & Tesler, G. (2004) · Genome Research · doi:10.1101/gr.2395204 · Cited by 236 · see citing works
Self-citationMetAMOS: a modular and open source metagenomic assembly and analysis pipeline
Treangen, T. J., Koren, S., Sommer, D. D., Liu, B., Astrovskaya, I., Ondov, B., Darling, A. E., Phillippy, A. M., & Pop, M. (2013) · Genome biology · doi:10.1186/gb-2013-14-1-r2 · Cited by 225 · see citing works
Extraordinary phylogenetic diversity and metabolic versatility in aquifer sediment
Castelle, C., Hug, L., Wrighton, K., Thomas, B., Williams, K., Wu, D., Tringe, S., Singer, S., Eisen, J., & Banfield, J. (2013) · Nature Communications · doi:10.1038/ncomms3120 · Cited by 224 · see citing works
Shakya, M., Quince, C., Campbell, J. H., Yang, Z. K., Schadt, C. W., & Podar, M. (2013) · Environmental Microbiology · doi:10.1111/1462-2920.12086 · Cited by 215 · see citing works
Characterization of Cyanobacterial Hydrocarbon Composition and Distribution of Biosynthetic Pathways
Coates, R. C., Podell, S. B., Korobeynikov, A., Lapidus, A. L., Pevzner, P. A., Sherman, D. H., Allen, E. E., Gerwick, L. G., & Gerwick, W. H. (2014) · PLoS ONE · doi:10.1371/journal.pone.0085140 · Cited by 199 · see citing works
Self-citationMcCoy, R. C., Taylor, R. W., Blauwkamp, T. A., Kelley, J. L., Kertesz, M., Pushkarev, D., Petrov, D. A., & Fiston-Lavier, A.-S. (2014) · PLoS ONE · doi:10.1371/journal.pone.0106689 · Cited by 199 · see citing works
Kleiner, M., Hooper, L. V., & Duerkop, B. A. (2015) · BMC Genomics · doi:10.1186/s12864-014-1207-4 · Cited by 198 · see citing works
Assembly of polymorphic genomes: Algorithms and application to Ciona savignyiPreprint
Vinson, J. P., Jaffe, D. B., O'Neill, K., Karlsson, E. K., Stange-Thomann, N., Anderson, S. T., Mesirov, J. P., Satoh, N., Satou, Y., Nusbaum, C., et al. (2005) · Genome Research · doi:10.1101/gr.3722605 · Cited by 184 · see citing works
A Novel Abundance-Based Algorithm for Binning Metagenomic Sequences Using l -tuples
Wu, Y., & Ye, Y. (2011) · Journal of Computational Biology · doi:10.1089/cmb.2010.0245 · Cited by 181 · see citing works
McLean, J. S., Lombardo, M., Badger, J. H., Edlund, A., Novotny, M. A., Yee-Greenbaum, J. L., Vyahhi, N., Hall, A. P., Yang, Y., Dupont, C. L., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1219809110 · Cited by 171 · see citing works
Self-citationWhole-genome haplotyping using long reads and statistical methods
Kuleshov, V., Xie, D., Chen, R., Pushkarev, D., Ma, Z., Blauwkamp, T. A., Kertesz, M., & Snyder, M. P. (2014) · Nature Biotechnology · doi:10.1038/nbt.2833 · Cited by 170 · see citing works
Kleigrewe, K., Almaliti, J., Tian, I. Y., Kinnel, R. B., Korobeynikov, A., Monroe, E. A., Duggan, B. M., Marzo, V. D., Sherman, D. H., Dorrestein, P. C., et al. (2015) · Journal of Natural Products · doi:10.1021/acs.jnatprod.5b00301 · Cited by 158 · see citing works
Self-citationRosen, M., Davison, M. R., Bhaya, D., & Fisher, D. S. (2015) · Science · doi:10.1126/science.aaa4456 · Cited by 139 · see citing works
ExSPAnder: a universal repeat resolver for DNA fragment assembly
Prjibelski, A. D., Vasilinetc, I., Bankevich, A., Gurevich, A. A., Krivosheeva, T., Nurk, S., Pham, S., Korobeynikov, A., Lapidus, A. L., & Pevzner, P. A. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu266 · Cited by 138 · see citing works
Self-citationGenovo: De Novo Assembly for Metagenomes
Laserson, J., Jojic, V., & Koller, D. (2011) · Journal of Computational Biology · doi:10.1089/cmb.2010.0244 · Cited by 137 · see citing works
Bambus 2: scaffolding metagenomes
Koren, S., Treangen, T. J., & Pop, M. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr520 · Cited by 135 · see citing works
Accurate, multi-kb reads resolve complex populations and detect rare microorganismsPreprint
Sharon, I., Kertesz, M., Hug, L. A., Pushkarev, D., Blauwkamp, T. A., Castelle, C. J., Amirebrahimi, M., Thomas, B. C., Burstein, D. E., Tringe, S. G., et al. (2015) · Genome Research · doi:10.1101/gr.183012.114 · Cited by 133 · see citing works
Synthetic long-read sequencing reveals intraspecies diversity in the human microbiome
Kuleshov, V., Jiang, C., Zhou, W., Jahanbani, F., Batzoglou, S., & Snyder, M. P. (2015) · Nature Biotechnology · doi:10.1038/nbt.3416 · Cited by 98 · see citing works
Omega: an Overlap-graphde novoAssembler for Metagenomics
Haider, B., Ahn, T.-H., Bushnell, B., Chai, J., Copeland, A., & Pan, C. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu395 · Cited by 96 · see citing works
Bioinformatics for the Human Microbiome Project
Gevers, D., Pop, M., Schloss, P. D., & Huttenhower, C. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002779 · Cited by 91 · see citing works
Assembling short reads from jumping libraries with large insert sizes
Vasilinetc, I., Prjibelski, A. D., Gurevich, A. A., Korobeynikov, A., & Pevzner, P. A. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btv337 · Cited by 79 · see citing works
Self-citationXie, M., Ren, M., Chen, Y., Yi, H., Li, Z., Li, T., & Zhao, J. (2016) · Frontiers in Microbiology · doi:10.3389/fmicb.2016.00056 · Cited by 77 · see citing works
Cotten, M. L., Munnink, B. B. O., Canuti, M., Deijs, M., Watson, S. J., Kellam, P., & van der Hoek, L. (2014) · PLoS ONE · doi:10.1371/journal.pone.0093269 · Cited by 74 · see citing works
Resolving the Complexity of Human Skin Metagenomes Using Single-Molecule Sequencing
Tsai, Y., Conlan, S., Deming, C., Program, N. C. S., Segre, J. A., Kong, H. H., Korlach, J., & Oh, J. (2016) · mBio · doi:10.1128/mbio.01948-15 · Cited by 73 · see citing works
dipSPAdes: Assembler for Highly Polymorphic Diploid Genomes
Safonova, Y., Bankevich, A., & Pevzner, P. A. (2015) · Journal of Computational Biology · doi:10.1089/cmb.2014.0153 · Cited by 70 · see citing works
Self-citationGarcía-López, R., Vázquez-Castellanos, J. F., & Moyá, A. (2015) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2015.00141 · Cited by 49 · see citing works
Spongosine Production by a Vibrio harveyi Strain Associated with the Sponge Tectitethya crypta
Bertin, M. J., Schwartz, S. L., Lee, J., Korobeynikov, A., Dorrestein, P. C., Gerwick, L. G., & Gerwick, W. H. (2015) · Journal of Natural Products · doi:10.1021/np5009762 · Cited by 42 · see citing works
Self-citationTruSPAdes: barcode assembly of TruSeq synthetic long reads
Bankevich, A., & Pevzner, P. A. (2016) · Nature Methods · doi:10.1038/nmeth.3737 · Cited by 41 · see citing works
Self-citationExploring variation-aware contig graphs for (comparative) metagenomics using MaryGold
Nijkamp, J. F., Pop, M., Reinders, M. J. T., et al. (2013) · Bioinformatics · doi:10.1093/bioinformatics/btt502 · Cited by 37 · see citing works
Hapsembler: An Assembler for Highly Polymorphic Genomes
Donmez, N., & Brudno, M. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-20036-6_5 · Cited by 35 · see citing works
Single sample resolution of rare microbial dark matter in a marine invertebrate metagenome
Miller, I., Weyna, T., Fong, S., Lim-Fong, G., & Kwan, J. (2016) · Scientific Reports · doi:10.1038/srep34362 · Cited by 32 · see citing works
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Prjibelski, A., Antipov, D., Meleshko, D., Lapidus, A., & Korobeynikov, A. (2020) · Current Protocols in Bioinformatics · doi:10.1002/cpbi.102 · Cited by 3,555 · see citing works
Self-citationMetaWRAP—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
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
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
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
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
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
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 · 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
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 · see citing works
Self-citationUS immigration westernizes the human gut microbiome
Vangay, P., Johnson, A. J., Ward, T. L., Al-Ghalith, G. A., Shields-Cutler, R. R., Hillmann, B. M., Lucas, S. K., Beura, L. K., Thompson, E. A., Till, L. M., et al. (2018) · Cell · doi:10.1016/j.cell.2018.10.029 · Cited by 794 · see citing works
Prevotella Diversity, Niches and Interactions with the Human Host
Tett, A., Pasolli, E., Masetti, G., Ercolini, D., & Segata, N. (2021) · Nature Reviews Microbiology · doi:10.1038/s41579-021-00559-y · Cited by 748 · see citing works
The Human Gut Virome Is Highly Diverse, Stable, and Individual Specific
Shkoporov, A. N., Clooney, A. G., Sutton, T. D. S., Ryan, F. J., Daly, K. M., Nolan, J. A., McDonnell, S. A., Khokhlova, E. V., Draper, L. A., Forde, A., et al. (2019) · Cell Host & Microbe · doi:10.1016/j.chom.2019.09.009 · Cited by 737 · see citing works
Cultivation and sequencing of rumen microbiome members from the Hungate1000 Collection
Hungate1000 project collaborators, Seshadri, R., Leahy, S. C., Attwood, G. T., Teh, K. H., Lambie, S. C., Cookson, A. L., Eloe-Fadrosh, E. A., Pavlopoulos, G. A., Hadjithomas, M., et al. (2018) · Nature Biotechnology · doi:10.1038/nbt.4110 · Cited by 624 · see citing works
Current challenges and best-practice protocols for microbiome analysis
Bharti, R., & Grimm, D. G. (2021) · Briefings in Bioinformatics · doi:10.1093/bib/bbz155 · Cited by 592 · see citing works
MGnify: the microbiome analysis resource in 2020
Mitchell, A. L., Almeida, A., Beracochea, M., Boland, M., Burgin, J., Cochrane, G., Crusoe, M. R., Kale, V., Potter, S. C., Richardson, L. J., et al. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz1035 · Cited by 562 · see citing works
Self-citationAssembly of 913 microbial genomes from metagenomic sequencing of the cow rumen
Stewart, R. D., Auffret, M. D., Warr, A., Wiser, A. H., Press, M. O., Langford, K. W., Liachko, I., Snelling, T. J., Dewhurst, R. J., Walker, A. W., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-03317-6 · Cited by 559 · see citing works
Pan-cancer analyses reveal cancer-type-specific fungal ecologies and bacteriome interactions
Narunsky-Haziza, L., Sepich-Poore, G. D., Livyatan, I., Asraf, O., Martino, C., Nejman, D., Gavert, N., Stajich, J. E., Amit, G., González, A., et al. (2022) · Cell · doi:10.1016/j.cell.2022.09.005 · Cited by 538 · see citing works
Tett, A., Huang, K. D., Asnicar, F., Fehlner-Peach, H., Pasolli, E., Karcher, N., Armanini, F., Manghi, P., Bonham, K., Zolfo, M., et al. (2019) · Cell Host & Microbe · doi:10.1016/j.chom.2019.08.018 · Cited by 476 · see citing works
The person-to-person transmission landscape of the gut and oral microbiomes
Valles-Colomer, M., Blanco-Míguez, A., Manghi, P., Asnicar, F., Dubois, L., Golzato, D., Armanini, F., Cumbo, F., Huang, K. D., Manara, S., et al. (2023) · Nature · doi:10.1038/s41586-022-05620-1 · Cited by 449 · see citing works
Dysbiosis of maternal and neonatal microbiota associated with gestational diabetes mellitus
Wang, J., Zheng, J., Shi, W., Du, N., Xu, X., Zhang, Y., Ji, P., Zhang, F., Jia, Z., Wang, Y., et al. (2018) · Gut · doi:10.1136/gutjnl-2018-315988 · Cited by 452 · see citing works
Microbial abundance, activity and population genomic profiling with mOTUs2
Milanese, A., Mende, D. R., Paoli, L., Salazar, G., Ruscheweyh, H.-J., Cuenca, M., Hingamp, P., Alves, R., Costea, P. I., Coelho, L. P., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-08844-4 · Cited by 446 · see citing works
Protein-level assembly increases protein sequence recovery from metagenomic samples manyfold
Steinegger, M., Mirdita, M., & Söding, J. (2019) · Nature Methods · doi:10.1038/s41592-019-0437-4 · Cited by 445 · see citing works
Accurate and complete genomes from metagenomes
Chen, L.-X., Anantharaman, K., Shaiber, A., Eren, A. M., & Banfield, J. F. (2020) · Genome Research · doi:10.1101/gr.258640.119 · Cited by 401 · see citing works
Deep mitochondrial origin outside the sampled alphaproteobacteria
Martijn, J., Vosseberg, J., Guy, L., Offre, P., & Ettema, T. J. G. (2018) · Nature · doi:10.1038/s41586-018-0059-5 · Cited by 378 · see citing works
Ianiro, G., Punčochář, M., Karcher, N., Porcari, S., Armanini, F., Asnicar, F., Beghini, F., Blanco-Míguez, A., Cumbo, F., Manghi, P., et al. (2022) · Nature Medicine · doi:10.1038/s41591-022-01964-3 · Cited by 366 · see citing works
Large-scale genome-wide analysis links lactic acid bacteria from food with the gut microbiome
Pasolli, E., De Filippis, F., Mauriello, I. E., Cumbo, F., Walsh, A. M., Leech, J., Cotter, P. D., Segata, N., & Ercolini, D. (2020) · Nature Communications · doi:10.1038/s41467-020-16438-8 · Cited by 367 · see citing works
Pérez-Cobas, A. E., Gomez-Valero, L., & Buchrieser, C. (2020) · Microbial Genomics · doi:10.1099/mgen.0.000409 · Cited by 314 · see citing works
The food-gut axis: lactic acid bacteria and their link to food, the gut microbiome and human health
De Filippis, F., Pasolli, E., & Ercolini, D. (2020) · FEMS Microbiology Reviews · doi:10.1093/femsre/fuaa015 · Cited by 303 · see citing works
Identifying biases and their potential solutions in human microbiome studies
Nearing, J. T., Comeau, A. M., & Langille, M. G. I. (2021) · Microbiome · doi:10.1186/s40168-021-01059-0 · Cited by 240 · see citing works
Vollmers, J., Wiegand, S., & Kaster, A.-K. (2017) · PLoS ONE · doi:10.1371/journal.pone.0169662 · Cited by 240 · see citing works
Kent, A. G., Vill, A. C., Shi, Q., Satlin, M. J., & Brito, I. L. (2020) · Nature Communications · doi:10.1038/s41467-020-18164-7 · Cited by 216 · see citing works
Drivers and determinants of strain dynamics following fecal microbiota transplantation
Schmidt, T. S. B., Li, S. S., Maistrenko, O. M., Akanni, W., Coelho, L. P., Dolai, S., Fullam, A., Glazek, A. M., Hercog, R., Herrema, H., et al. (2022) · Nature Medicine · doi:10.1038/s41591-022-01913-0 · Cited by 233 · see citing works
Beresford-Jones, B. S., Forster, S. C., Stares, M. D., Notley, G., Viciani, E., Browne, H. P., Boehmler, D. J., Soderholm, A. T., Kumar, N., Vervier, K., et al. (2022) · Cell Host & Microbe · doi:10.1016/j.chom.2021.12.003 · Cited by 194 · see citing works
Karcher, N., Nigro, E., Punčochář, M., Blanco-Míguez, A., Ciciani, M., Manghi, P., Zolfo, M., Cumbo, F., Manara, S., Golzato, D., et al. (2021) · Genome Biology · doi:10.1186/s13059-021-02427-7 · Cited by 159 · see citing works
Maguire, F., Jia, B., Gray, K. L., Lau, W. Y. V., Beiko, R. G., & Brinkman, F. S. L. (2020) · Microbial Genomics · doi:10.1099/mgen.0.000436 · Cited by 152 · see citing works
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 · see citing works
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 · see citing works
“Furthermore, k-mer-based approaches, such as metaSPades, prove valuable for reconstructing individual genomes from metagenomic datasets [140].”
MethodOn the road to strain-resolved comparative metagenomics
Segata, N. (2018) · mSystems · doi:10.1128/msystems.00190-17 · Cited by 127 · see citing works
Multiscale Evolutionary Dynamics of Host-Associated Microbiomes
Ferreiro, A., Crook, N., Gasparrini, A. J., & Dantas, G. (2018) · Cell · doi:10.1016/j.cell.2018.02.015 · Cited by 127 · see citing works
Sung, C. M., Lin, Y.-F., Chen, K.-F., Ke, H.-M., Huang, H.-Y., Gong, Y.-N., Tsai, W.-S., You, J.-F., Lu, M. J., Cheng, H.-T., et al. (2019) · Cellular and Molecular Gastroenterology and Hepatology · doi:10.1016/j.jcmgh.2019.04.008 · Cited by 127 · see citing works
Microbial composition of Kombucha determined using amplicon sequencing and shotgun metagenomics
Arıkan, M., Mitchell, A. L., Finn, R. D., & Gürel, F. (2020) · Journal of Food Science · doi:10.1111/1750-3841.14992 · Cited by 123 · see citing works
Karcher, N., Pasolli, E., Asnicar, F., Huang, K. D., Tett, A., Manara, S., Armanini, F., Bain, D., Duncan, S. H., Louis, P., et al. (2020) · Genome Biology · doi:10.1186/s13059-020-02042-y · Cited by 116 · see citing works
Computational methods for chromosome-scale haplotype reconstruction
Garg, S. (2021) · Genome Biology · doi:10.1186/s13059-021-02328-9 · Cited by 116 · see citing works
Press, M. O., Wiser, A. H., Kronenberg, Z. N., Langford, K. W., Shakya, M., Lo, C.-C., Mueller, K. A., Sullivan, S. T., Chain, P. S. G., & Liachko, I. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/198713 · Cited by 103 · see citing works
Peddu, V., Shean, R. C., Xie, H., Shrestha, L., Perchetti, G. A., Minot, S. S., Roychoudhury, P., Huang, M.-L., Nalla, A., Reddy, S. B., et al. (2020) · Clinical Chemistry · doi:10.1093/clinchem/hvaa106 · Cited by 73 · see citing works
Gut microbiota in ALS: possible role in pathogenesis?
McCombe, P. A., Henderson, R. D., Lee, A., Lee, J. D., Woodruff, T. M., Restuadi, R., McRae, A., Wray, N. R., Ngo, S., & Steyn, F. J. (2019) · Expert Review of Neurotherapeutics · doi:10.1080/14737175.2019.1623026 · Cited by 46 · see citing works
Gut microbiota-derived hexa-acylated lipopolysaccharides enhance cancer immunotherapy responses
Sardar, P., Beresford-Jones, B. S., Xia, W., Shabana, O., Suyama, S., Ramos, R. J. F., Soderholm, A. T., Tourlomousis, P., Kuo, P., Evans, A. C., et al. (2025) · Nature Microbiology · doi:10.1038/s41564-025-01930-y · Cited by 49 · see citing works
Zhang, Q., Linke, V., Overmyer, K. A., Traeger, L. L., Kasahara, K., Miller, I. J., Manson, D. E., Polaske, T. J., Kerby, R. L., Kemis, J. H., et al. (2023) · Nature Microbiology · doi:10.1038/s41564-023-01326-w · Cited by 43 · see citing works
Pietrzak, B., Tomela, K., Olejnik-Schmidt, A., Galus, Ł., Mackiewicz, J., Kaczmarek, M., Mackiewicz, A., & Schmidt, M. (2022) · Cancers · doi:10.3390/cancers14215369 · Cited by 36 · see citing works
Alexa, E. A., Cobo-Díaz, J. F., Renes, E., O´Callaghan, T. F., Kilcawley, K., Mannion, D., Skibinska, I., Ruiz, L., Margolles, A., Fernández-Gómez, P., et al. (2024) · Microbiome · doi:10.1186/s40168-024-01790-4 · Cited by 28 · see citing works
Rozman, V., Mohar Lorbeg, P., Treven, P., Accetto, T., Golob, M., Zdovc, I., & Bogovič Matijašić, B. (2022) · Gut Microbes · doi:10.1080/19490976.2022.2127438 · Cited by 21 · see citing works
Genomic atlas of Bifidobacterium infantis and B. longum informs infant probiotic design
Shao, Y., Wang, S., Gichuki, B. M., Stares, M. D., Rozday, T. J., Kumar, N., Browne, H. P., Dawson, N. J. R., Njunge, J. M., Tigoi, C., et al. (2026) · Cell · doi:10.1016/j.cell.2026.01.007 · Cited by 17 · see citing works
Lu, L., Ashworth, J., Nguyen, D., Li, K., Smith, D. B., Woolhouse, M., & on behalf of the VIZIONS Consortium (2021) · Viruses · doi:10.3390/v13091709 · Cited by 11 · see citing works
“Remaining reads were assembled into contigs using MetaSPAdes [14].”
MethodParker, C. W., Senko, J. M., Auler, A. S., Sasowsky, I. D., Schulz, F., Woyke, T., & Barton, H. A. (2022) · Scientific Reports · doi:10.1038/s41598-022-21365-3 · Cited by 12 · see citing works
A multi-modal deep language model for contaminant removal from metagenome-assembled genomes
Zou, B., Wang, J., Ding, Y., Zhang, Z., Huang, Y., Fang, X., Cheung, K. C., See, S., & Zhang, L. (2024) · Nature Machine Intelligence · doi:10.1038/s42256-024-00908-5 · Cited by 9 · see citing works
- Authors
- Nurk, S., Meleshko, D., Korobeynikov, A., & Pevzner, P. A.
- Affiliations
- St Petersburg University (RU)
- Corresponding author
- Nurk, Sergey
- Venue
- Genome Research
- Publisher
- Cold Spring Harbor Laboratory
- Published
- 2017-03-15
- Volume
- 27
- Issue
- 5
- Pages
- 824-834
- ISSN
- 1088-9051 (ISSN-L)
- 1549-5469
- PMC
- PMC5411777
- OpenAlex
- W2599417231
- Cited by
- 4,496
- References
- 72
- Citations by year
- 2026: 540 · 2025: 691 · 2024: 714 · 2023: 596 · 2022: 629 · 2021: 514 · 2020: 401 · 2019: 218 · 2018: 131 · 2017: 58 · 2016: 1 · 2015: 2 · 2014: 1
- Type
- posted content
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Genome Research (publishedVersion)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- HighWire Press Open Archive (submittedVersion)
- Funders
- Russian Science Foundation (14-50-00069)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Physical Sciences › Environmental Science › Ecology › Microbial Community Ecology and Physiology
- Physical Sciences › Environmental Science › Ecology › Environmental DNA in Biodiversity Studies
- Keywords
- metaSPAdes, metagenome assembly, bacterial populations, strain-level resolution, diploid genome assembly, assembler benchmarking
- MeSH terms
- Software, Genome, Bacterial, Sequence Analysis, DNA, Contig Mapping, Genomics, Metagenome
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