FLASH: fast length adjustment of short reads to improve genome assemblies
Open accessAbstract
MOTIVATION: Next-generation sequencing technologies generate very large numbers of short reads. Even with very deep genome coverage, short read lengths cause problems in de novo assemblies. The use of paired-end libraries with a fragment size shorter than twice the read length provides an opportunity to generate much longer reads by overlapping and merging read pairs before assembling a genome. RESULTS: We present FLASH, a fast computational tool to extend the length of short reads by overlapping paired-end reads from fragment libraries that are sufficiently short. We tested the correctness of the tool on one million simulated read pairs, and we then applied it as a pre-processor for genome assemblies of Illumina reads from the bacterium Staphylococcus aureus and human chromosome 14. FLASH correctly extended and merged reads >99% of the time on simulated reads with an error rate of <1%. With adequately set parameters, FLASH correctly merged reads over 90% of the time even when the reads contained up to 5% errors. When FLASH was used to extend reads prior to assembly, the resulting assemblies had substantially greater N50 lengths for both contigs and scaffolds. AVAILABILITY AND IMPLEMENTATION: The FLASH system is implemented in C and is freely available as open-source code at http://www.cbcb.umd.edu/software/flash. CONTACT: t.magoc@gmail.com.
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?
Both Shera and FLASH ignore the quality scores of the base calls.
“Both, Shera and FLASH (see later in the text) ignore the quality scores of the base calls.”
From PEAR: a fast and accurate Illumina Paired-End reAd mergeR (2014) · cites this paper as Magoč and Salzberg, 2011
FLASH constructs merged reads that maximize the overlap length-to-matches ratio.
“FLASH constructs merged reads that maximize the overlap length-to-matches ratio.”
From PEAR: a fast and accurate Illumina Paired-End reAd mergeR (2014) · cites this paper as Magoč and Salzberg, 2011
FLASH requires the mean DNA fragment size and standard deviation of the fragment size as input parameters.
“FLASH requires the mean DNA fragment size and standard deviation of the fragment size as input parameters.”
From PEAR: a fast and accurate Illumina Paired-End reAd mergeR (2014) · cites this paper as Magoč and Salzberg, 2011
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
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-citationVersatile and open software for comparing large genomes
Kurtz, S., Phillippy, A., Delcher, A. L., Smoot, M., Shumway, M., Antonescu, C., & Salzberg, S. L. (2004) · Genome Biology · doi:10.1186/gb-2004-5-2-r12 · Cited by 5,254 · see citing works
Self-citationDe 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 · cited 1× · see citing works
“Anyincreaseinreadlength willhaveasignificant,positiveimpactonthequalityofgenome assemblies. library of DNAfragments.”
High-quality draft assemblies of mammalian genomes from massively parallel sequence data
Gnerre, S., Maccallum, I., Przybylski, D., Ribeiro, F. J., Burton, J., Walker, B. J., Sharpe, T., Hall, G., Shea, T., Sykes, S., et al. (2010) · Proceedings of the National Academy of Sciences of the United States of America · doi:10.1073/pnas.1017351108 · Cited by 1,647 · see citing works
Aggressive assembly of pyrosequencing reads with mates
Miller, J. R., Delcher, A. L., Koren, S., Venter, E., Walenz, B. P., Brownley, A., Johnson, J. H., Li, K., Mobarry, C. M., & Sutton, G. G. (2008) · Bioinformatics · doi:10.1093/bioinformatics/btn548 · Cited by 604 · see citing works
Quake: quality-aware detection and correction of sequencing errors
Kelley, D. R., Schatz, M. C., & Salzberg, S. L. (2010) · Genome biology · doi:10.1186/gb-2010-11-11-r116 · Cited by 581 · see citing works
Self-citationALLPATHS 2: small genomes assembled accurately and with high continuity from short paired reads
MacCallum, I., Przybylski, D., Gnerre, S., Burton, J. N., Shlyakhter, I. A., Gnirke, A., Malek, J. A., McKernan, K. J., Ranade, S., Shea, T., et al. (2009) · Genome biology · doi:10.1186/gb-2009-10-10-r103 · Cited by 180 · see citing works
Unlocking short read sequencing for metagenomics
Rodrigue, S., Materna, A. C., Timberlake, S. C., Blackburn, M. C., Malmstrom, R. R., Alm, E. J., & Chisholm, S. W. (2010) · PLoS ONE · doi:10.1371/journal.pone.0011840 · Cited by 168 · see citing works
Phenotypic connections in surprising places
Linghu, B., & DeLisi, C. (2010) · Genome biology · doi:10.1186/gb-2010-11-4-116 · Cited by 128 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
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
Microbial diversity drives multifunctionality in terrestrial ecosystems
Delgado-Baquerizo, M., Maestre, F. T., Reich, P. B., Jeffries, T. C., Gaitan, J. J., Encinar, D., Berdugo, M., Campbell, C. D., & Singh, B. K. (2016) · Nature Communications · doi:10.1038/ncomms10541 · Cited by 2,624 · see citing works
Structure 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
Population-level analysis of gut microbiome variation
Falony, G., Joossens, M., Vieira-Silva, S., Wang, J., Darzi, Y., Faust, K., Kurilshikov, A., Bonder, M. J., Valles-Colomer, M., Vandeputte, D., et al. (2016) · Science · doi:10.1126/science.aad3503 · Cited by 2,400 · see citing works
Intestinal inflammation targets cancer-inducing activity of the microbiota
Arthur, J. C., Perez-Chanona, E., Mühlbauer, M., Tomkovich, S., Uronis, J. M., Fan, T.-J., Campbell, B. J., Abujamel, T., Dogan, B., Rogers, A. B., et al. (2012) · Science · doi:10.1126/science.1224820 · Cited by 2,263 · see citing works
Evaluation of 16S rRNA gene sequencing for species and strain-level microbiome analysis
Johnson, J. S., Spakowicz, D. J., Hong, B., Petersen, L., Demkowicz, P. C., Chen, L., Leopold, S. R., Hanson, B., Agresta, H. O., Gerstein, M., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-13036-1 · Cited by 2,286 · see citing works
The Long-Term Stability of the Human Gut Microbiota
Faith, J. J., Guruge, J. L., Charbonneau, M., Subramanian, S., Seedorf, H., Goodman, A. L., Clemente, J. C., Knight, R., Heath, A. C., Leibel, R. L., et al. (2013) · Science · doi:10.1126/science.1237439 · Cited by 2,058 · see citing works
Disentangling type 2 diabetes and metformin treatment signatures in the human gut microbiota
MetaHIT consortium, Forslund, K., Hildebrand, F., Nielsen, T., Falony, G., Le Chatelier, E., Sunagawa, S., Prifti, E., Vieira-Silva, S., Gudmundsdottir, V., et al. (2015) · Nature · doi:10.1038/nature15766 · Cited by 2,116 · see citing works
AdapterRemoval v2: rapid adapter trimming, identification, and read merging
Schubert, M., Lindgreen, S., & Orlando, L. (2016) · BMC Research Notes · doi:10.1186/s13104-016-1900-2 · Cited by 2,091 · see citing works
Fadrosh, D. W., Ma, B., Gajer, P., Sengamalay, N., Ott, S., Brotman, R. M., & Ravel, J. (2014) · Microbiome · doi:10.1186/2049-2618-2-6 · Cited by 1,698 · 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
Hu, L., Robert, C. A. M., Cadot, S., Zhang, X., Ye, M., Li, B., Manzo, D., Chervet, N., Steinger, T., van der Heijden, M. G. A., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-05122-7 · Cited by 1,624 · see citing works
BBMerge – Accurate paired shotgun read merging via overlap
Bushnell, B., Rood, J., & Singer, E. (2017) · PLoS ONE · doi:10.1371/journal.pone.0185056 · Cited by 1,495 · see citing works
Lamas, B., Richard, M. L., Leducq, V., Pham, H.-P., Michel, M.-L., Da Costa, G., Bridonneau, C., Jegou, S., Hoffmann, T. W., Natividad, J. M., et al. (2016) · Nature Medicine · doi:10.1038/nm.4102 · Cited by 1,482 · see citing works
Miya, M. U., Sato, Y., Fukunaga, T., Sado, T., Poulsen, J. Y., Sato, K., Minamoto, T., Yamamoto, S., Yamanaka, H., Araki, H., et al. (2015) · Royal Society Open Science · doi:10.1098/rsos.150088 · Cited by 1,498 · see citing works
Leff, J., Jones, S. E., Prober, S. M., Barberán, A., Borer, E. T., Firn, J. L., Harpole, W. S., Hobbie, S. E., Hofmockel, K., Knops, J. M. H., et al. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1508382112 · Cited by 1,456 · see citing works
Quantitative microbiome profiling links gut community variation to microbial load
Vandeputte, D., Kathagen, G., D’hoe, K., Vieira-Silva, S., Valles-Colomer, M., Sabino, J., Wang, J., Tito, R. Y., De Commer, L., Darzi, Y., et al. (2017) · Nature · doi:10.1038/nature24460 · Cited by 1,218 · see citing works
Error filtering, pair assembly and error correction for next-generation sequencing reads
Edgar, R. C., & Flyvbjerg, H. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btv401 · Cited by 1,278 · see citing works
Salicylic acid modulates colonization of the root microbiome by specific bacterial taxa
Lebeis, S. L., Paredes, S. H., Lundberg, D. S., Breakfield, N. W., Gehring, J., McDonald, M., Malfatti, S., del Rio, T. G., Jones, C. D., Tringe, S. G., et al. (2015) · Science · doi:10.1126/science.aaa8764 · Cited by 1,205 · see citing works
Neonatal gut microbiota associates with childhood multisensitized atopy and T cell differentiation
Fujimura, K. E., Sitarik, A. R., Havstad, S. L., Lin, D. L., Levan, S., Fadrosh, D. W., Panzer, A. R., LaMere, B. J., Rackaityte, E., Lukacs, N. W., et al. (2016) · Nature Medicine · doi:10.1038/nm.4176 · Cited by 1,168 · see citing works
The NASA Twins Study: A multidimensional analysis of a year-long human spaceflight
Garrett-Bakelman, F. E., Darshi, M., Green, S. J., Gur, R. C., Lin, L., Macias, B. R., McKenna, M. J., Meydan, C., Mishra, T., Nasrini, J., et al. (2019) · Science · doi:10.1126/science.aau8650 · Cited by 1,128 · see citing works
Increasing aridity reduces soil microbial diversity and abundance in global drylands
Maestre, F. T., Delgado‐Baquerizo, M., Jeffries, T. C., Eldridge, D. J., Ochoa, V., Gozalo, B., Quero, J. L., García‐Gómez, M., Gallardo, A., Ulrich, W., et al. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1516684112 · Cited by 1,145 · see citing works
Taberlet, P., Bonin, A., Zinger, L., & Coissac, É. (2018) · doi:10.1093/oso/9780198767220.001.0001 · Cited by 1,061 · see citing works
RETRACTED ARTICLE: Microbiome analyses of blood and tissues suggest cancer diagnostic approach
Poore, G. D., Kopylova, E., Zhu, Q., Carpenter, C., Fraraccio, S., Wandro, S., Kosciolek, T., Janssen, S., Metcalf, J., Song, S. J., et al. (2020) · Nature · doi:10.1038/s41586-020-2095-1 · Cited by 989 · see citing works
RetractedFROGS: Find, Rapidly, OTUs with Galaxy Solution
Escudié, F., Auer, L., Bernard, M., Mariadassou, M., Cauquil, L., Vidal, K., Maman, S., Hernandez‐Raquet, G., Combes, S., & Pascal, G. (2017) · Bioinformatics · doi:10.1093/bioinformatics/btx791 · Cited by 1,033 · see citing works
Practical innovations for high-throughput amplicon sequencing
Lundberg, D. S., Yourstone, S., Mieczkowski, P. A., Jones, C. D., & Dangl, J. L. (2013) · Nature Methods · doi:10.1038/nmeth.2634 · Cited by 1,015 · see citing works
Host genotype and age shape the leaf and root microbiomes of a wild perennial plant
Wagner, M. R., Lundberg, D. S., del Rio, T. G., Tringe, S. G., Dangl, J. L., & Mitchell‐Olds, T. (2016) · Nature Communications · doi:10.1038/ncomms12151 · Cited by 976 · see citing works
Ghosh, T. S., Rampelli, S., Jeffery, I. B., Santoro, A., Neto, M., Capri, M., Giampieri, E., Jennings, A., Candela, M., Turroni, S., et al. (2020) · Gut · doi:10.1136/gutjnl-2019-319654 · Cited by 991 · see citing works
Qiao, R., Sheng, C., Lu, Y., Zhang, Y., Ren, H., & Lemos, B. (2019) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2019.01.245 · Cited by 971 · see citing works
Burokas, A., Arboleya, S., Moloney, R. D., Peterson, V. L., Murphy, K., Clarke, G., Stanton, C., Dinan, T. G., & Cryan, J. F. (2017) · Biological Psychiatry · doi:10.1016/j.biopsych.2016.12.031 · Cited by 952 · see citing works
Teo, S. M., Mok, D., Pham, K., Kusel, M., Serralha, M., Troy, N., Holt, B. J., Hales, B. J., Walker, M. L., Hollams, E., et al. (2015) · Cell Host & Microbe · doi:10.1016/j.chom.2015.03.008 · Cited by 953 · see citing works
Vakulskas, C. A., Dever, D. P., Rettig, G. R., Turk, R., Jacobi, A. M., Collingwood, M. A., Bode, N. M., McNeill, M. S., Yan, S., Camarena, J., et al. (2018) · Nature Medicine · doi:10.1038/s41591-018-0137-0 · Cited by 782 · see citing works
Whole-organism lineage tracing by combinatorial and cumulative genome editing
McKenna, A., Findlay, G. M., Gagnon, J. A., Horwitz, M. S., Schier, A. F., & Shendure, J. (2016) · Science · doi:10.1126/science.aaf7907 · Cited by 766 · see citing works
Chen, W., Ren, K., Isabwe, A., Chen, H., Liu, M., & Yang, J. (2019) · Microbiome · doi:10.1186/s40168-019-0749-8 · Cited by 814 · see citing works
In vivo CRISPR base editing of PCSK9 durably lowers cholesterol in primates
Musunuru, K., Chadwick, A. C., Mizoguchi, T., Garcia, S. P., DeNizio, J. E., Reiss, C. W., Wang, K., Iyer, S., Dutta, C., Clendaniel, V., et al. (2021) · Nature · doi:10.1038/s41586-021-03534-y · Cited by 793 · see citing works
Tumour-associated and non-tumour-associated microbiota in colorectal cancer
Flemer, B., Lynch, D. B., Brown, J. M. R., Jeffery, I. B., Ryan, F. J., Claesson, M. J., O'Riordain, M., Shanahan, F., & O'Toole, P. W. (2017) · Gut · doi:10.1136/gutjnl-2015-309595 · Cited by 804 · see citing works
Metabolic network analysis reveals microbial community interactions in anammox granules
Lawson, C. E., Wu, S., Bhattacharjee, A. S., Hamilton, J. J., McMahon, K. D., Goel, R. K., & Noguera, D. R. (2017) · Nature Communications · doi:10.1038/ncomms15416 · Cited by 786 · see citing works
van de Wouw, M., Boehme, M., Lyte, J. M., Wiley, N., Strain, C., O'Sullivan, O., Clarke, G., Stanton, C., Dinan, T. G., & Cryan, J. F. (2018) · The Journal of Physiology · doi:10.1113/jp276431 · Cited by 789 · see citing works
Gut bacteria that prevent growth impairments transmitted by microbiota from malnourished children
Blanton, L. V., Charbonneau, M. R., Salih, T., Barratt, M. J., Venkatesh, S., Ilkaveya, O., Subramanian, S., Manary, M. J., Trehan, I., Jorgensen, J. M., et al. (2016) · Science · doi:10.1126/science.aad3311 · Cited by 735 · see citing works
Sun, M.-F., Zhu, Y.-L., Zhou, Z.-L., Jia, X.-B., Xu, Y.-D., Yang, Q., Cui, C., & Shen, Y.-Q. (2018) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2018.02.005 · Cited by 736 · see citing works
Hartman, K., van der Heijden, M. G. A., Wittwer, R., Banerjee, S., Walser, J., & Schlaeppi, K. (2018) · Microbiome · doi:10.1186/s40168-017-0389-9 · Cited by 758 · see citing works
Correcting for 16S rRNA gene copy numbers in microbiome surveys remains an unsolved problem
Louca, S., Doebeli, M., & Parfrey, L. W. (2018) · Microbiome · doi:10.1186/s40168-018-0420-9 · Cited by 755 · see citing works
Selective enrichment of bacterial pathogens by microplastic biofilm
Wu, X., Pan, J., Li, M., Li, Y., Bartlam, M. G., & Wang, Y. (2019) · Water Research · doi:10.1016/j.watres.2019.114979 · Cited by 719 · see citing works
Temperature mediates continental-scale diversity of microbes in forest soils
Zhou, J. Z., Deng, Y., Shen, L., Wen, C., Yan, Q., Ning, D., Qin, Y., Xue, K., Wu, L., He, Z., et al. (2016) · Nature Communications · doi:10.1038/ncomms12083 · Cited by 693 · see citing works
Wang, J., Thingholm, L. B., Skiecevičienė, J., Rausch, P., Kummen, M., Hov, J. R., Degenhardt, F., Heinsen, F.-A., Rühlemann, M. C., Szymczak, S., et al. (2016) · Nature Genetics · doi:10.1038/ng.3695 · Cited by 625 · see citing works
RNA motif discovery by SHAPE and mutational profiling (SHAPE-MaP)
Siegfried, N. A., Busan, S., Rice, G. M., Nelson, J. A. E., & Weeks, K. M. (2014) · Nature Methods · doi:10.1038/nmeth.3029 · Cited by 662 · see citing works
Aridity-driven shift in biodiversity–soil multifunctionality relationships
Hu, W., Ran, J., Dong, L., Du, Q., Ji, M., Yao, S., Sun, Y., Gong, C., Hou, Q., Gong, H., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-25641-0 · Cited by 643 · see citing works
Xue, Y., Chen, H., Yang, J. R., Liu, M., Huang, B., & Yang, J. (2018) · The ISME Journal · doi:10.1038/s41396-018-0159-0 · Cited by 631 · see citing works
Yu, P., He, X., Baer, M., Beirinckx, S., Tian, T., Moya, Y. A. T., Zhang, X., Deichmann, M., Frey, F. P., Bresgen, V., et al. (2021) · Nature Plants · doi:10.1038/s41477-021-00897-y · Cited by 626 · see citing works
The tobacco genome sequence and its comparison with those of tomato and potato
Sierro, N., Battey, J. N. D., Ouadi, S., Bakaher, N., Bovet, L., Willig, A., Goepfert, S., Peitsch, M. C., & Ivanov, N. V. (2014) · Nature Communications · doi:10.1038/ncomms4833 · Cited by 631 · see citing works
Genome sequence of the progenitor of the wheat D genome Aegilops tauschii
Luo, M., Gu, Y., Puiu, D., Wang, H., Twardziok, S. O., Deal, K. R., Huo, N., Zhu, T., Wang, L., Wang, Y., et al. (2017) · Nature · doi:10.1038/nature24486 · Cited by 614 · see citing works
Self-citationThe Microbiome Quality Control Project Consortium, Sinha, R., Abu-Ali, G., Vogtmann, E., Fodor, A. A., Ren, B., Amir, A., Schwager, E., Crabtree, J., Ma, S., et al. (2017) · Nature Biotechnology · doi:10.1038/nbt.3981 · Cited by 587 · see citing works
AdapterRemoval: easy cleaning of next-generation sequencing reads
Lindgreen, S. (2012) · BMC Research Notes · doi:10.1186/1756-0500-5-337 · Cited by 622 · see citing works
A CRISPR–Cpf1 system for efficient genome editing and transcriptional repression in plants
Tang, X. D., Lowder, L. G., Zhang, T., Malzahn, A. A., Zheng, X., Voytas, D. F., Zhong, Z., Chen, Y., Ren, Q., Li, Q., et al. (2017) · Nature Plants · doi:10.1038/nplants.2017.18 · Cited by 619 · see citing works
Charbonneau, M. R., O’Donnell, D., Blanton, L. V., Totten, S. M., Davis, J. C. C., Barratt, M. J., Cheng, J., Guruge, J., Talcott, M., Bain, J. R., et al. (2016) · Cell · doi:10.1016/j.cell.2016.01.024 · Cited by 606 · see citing works
Intermittent Fasting Confers Protection in CNS Autoimmunity by Altering the Gut Microbiota
Cignarella, F., Cantoni, C., Ghezzi, L., Salter, A., Dorsett, Y., Chen, L., Phillips, D., Weinstock, G. M., Fontana, L., Cross, A. H., et al. (2018) · Cell Metabolism · doi:10.1016/j.cmet.2018.05.006 · Cited by 568 · see citing works
Evolution of gut microbiota composition from birth to 24 weeks in the INFANTMET Cohort
Hill, C. J., Lynch, D. B., Murphy, K., Ulaszewska, M., Jeffery, I. B., O’Shea, C. A., Watkins, C., Dempsey, E., Mattivi, F., Tuohy, K., et al. (2017) · Microbiome · doi:10.1186/s40168-016-0213-y · Cited by 573 · see citing works
Chen, Q., Ding, J., Zhu, D., Hu, H., Delgado‐Baquerizo, M., Ma, Y., He, J., & Zhu, Y. (2019) · Soil Biology and Biochemistry · doi:10.1016/j.soilbio.2019.107686 · Cited by 572 · see citing works
Assessing the performance of the Oxford Nanopore Technologies MinION
Laver, T. W., Harrison, J., O’Neill, P. A., Moore, K., Farbos, A., Paszkiewicz, K. H., & Studholme, D. J. (2015) · Biomolecular Detection and Quantification · doi:10.1016/j.bdq.2015.02.001 · Cited by 563 · see citing works
Hänfling, B., Handley, L. L., Read, D. S., Hahn, C., Li, J., Nichols, P. C., Blackman, R. C., Oliver, A., & Winfield, I. J. (2016) · Molecular Ecology · doi:10.1111/mec.13660 · Cited by 567 · see citing works
Prebiotic inulin-type fructans induce specific changes in the human gut microbiota
Vandeputte, D., Falony, G., Vieira-Silva, S., Wang, J., Sailer, M., Theis, S., Verbeke, K., & Raes, J. (2017) · Gut · doi:10.1136/gutjnl-2016-313271 · Cited by 554 · see citing works
Kim, S., Goel, R., Kumar, A., Qi, Y., Lobaton, G. O., Hosaka, K., Mohammed, M., Handberg, E. M., Richards, E. M., Pepine, C. J., et al. (2018) · Clinical Science · doi:10.1042/cs20180087 · Cited by 545 · see citing works
Lin, Y., Ye, G., Kuzyakov, Y. V., Liu, D., Fan, J., & Ding, W. (2019) · Soil Biology and Biochemistry · doi:10.1016/j.soilbio.2019.03.030 · Cited by 543 · see citing works
Primer and platform effects on 16S rRNA tag sequencing
Tremblay, J., Singh, K. P., Fern, A., Kirton, E., He, S., Woyke, T., Lee, J., Chen, F., Dangl, J. L., & Tringe, S. G. (2015) · Frontiers in Microbiology · doi:10.3389/fmicb.2015.00771 · Cited by 530 · see citing works
Albertsen, M., Karst, S. M., Ziegler, A., Kirkegaard, R. H., & Nielsen, P. H. (2015) · PLoS ONE · doi:10.1371/journal.pone.0132783 · Cited by 527 · see citing works
EAGER: efficient ancient genome reconstruction
Peltzer, A., Jäger, G., Herbig, A., Seitz, A., Kniep, C., Krause, J., & Nieselt, K. (2016) · Genome Biology · doi:10.1186/s13059-016-0918-z · Cited by 509 · see citing works
The structure and function of the global citrus rhizosphere microbiome
Xu, J. H., Zhang, Y., Zhang, P., Trivedi, P., Riera, N., Wang, Y., Liu, X., Fan, G., Tang, J., Coletta-Filho, H. D., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-07343-2 · Cited by 505 · see citing works
Broad CTL response is required to clear latent HIV-1 due to dominance of escape mutations
Deng, K., Pertea, M., Rongvaux, A., Wang, L., Durand, C. M., Ghiaur, G., Lai, J., McHugh, H., Hao, H., Zhang, H., et al. (2015) · Nature · doi:10.1038/nature14053 · Cited by 499 · see citing works
Self-citationLi, X., Meng, D., Li, J., Yin, H., Liu, H., Liu, X., Cheng, C., Xiao, Y., Liu, Z., & Yan, M. (2017) · Environmental Pollution · doi:10.1016/j.envpol.2017.08.057 · Cited by 504 · see citing works
Yersinia pestis and the Plague of Justinian 541–543 AD: a genomic analysis
Wagner, D. M., Klunk, J., Harbeck, M., Devault, A. M., Waglechner, N., Sahl, J. W., Enk, J. M., Birdsell, D. N., Kuch, M., Lumibao, C. Y., et al. (2014) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(13)70323-2 · Cited by 493 · see citing works
Biodiversity and species competition regulate the resilience of microbial biofilm community
Feng, K., Zhang, Z., Cai, W., Liu, W., Xu, M., Yin, H., Wang, A., He, Z., & Deng, Y. (2017) · Molecular Ecology · doi:10.1111/mec.14356 · Cited by 474 · see citing works
Single cell transcriptomic landscape of diabetic foot ulcers
Theocharidis, G., Thomas, B. E., Sarkar, D., Mumme, H., Pilcher, W., Dwivedi, B., Sandoval-Schaefer, T., Sîrbulescu, R. F., Kafanas, A., Mezghani, I., et al. (2022) · Nature Communications · doi:10.1038/s41467-021-27801-8 · Cited by 483 · see citing works
Parker, M. T., Knop, K., Sherwood, A. V., Schurch, N., Mackinnon, K., Gould, P. D., Hall, A. J. W., Barton, G. J., & Simpson, G. G. (2020) · eLife · doi:10.7554/elife.49658 · Cited by 464 · see citing works
Environmental DNA metabarcoding reveals local fish communities in a species-rich coastal sea
Yamamoto, S., Masuda, R., Sato, Y., Sado, T., Araki, H., Kondoh, M., Minamoto, T., & Miya, M. U. (2017) · Scientific Reports · doi:10.1038/srep40368 · Cited by 463 · see citing works
Influence of resistance breeding in common bean on rhizosphere microbiome composition and function
Mendes, L. W., Raaijmakers, J. M., de Hollander, M., Mendes, R., & Tsai, S. M. (2017) · The ISME Journal · doi:10.1038/ismej.2017.158 · Cited by 452 · see citing works
Seasonal, spatial, and maternal effects on gut microbiome in wild red squirrels
Ren, T., Boutin, S. A., Humphries, M. M., Dantzer, B., Gorrell, J. C., Coltman, D. W., McAdam, A. G., & Wu, M. (2017) · Microbiome · doi:10.1186/s40168-017-0382-3 · Cited by 462 · see citing works
Do, M. H., Lee, E., Oh, M.-J., Kim, Y., & Park, H.-Y. (2018) · Nutrients · doi:10.3390/nu10060761 · Cited by 441 · see citing works
Salinity Is a Key Determinant for Soil Microbial Communities in a Desert Ecosystem
Zhang, K., Shi, Y., Cui, X., Yue, P., Li, K., Liu, X., Tripathi, B. M., & Chu, H. (2019) · mSystems · doi:10.1128/msystems.00225-18 · Cited by 446 · see citing works
Altered intestinal microbiota–host mitochondria crosstalk in new onset Crohn’s disease
Mottawea, W., Chiang, C., Mühlbauer, M., Starr, A. E., Butcher, J., Abujamel, T. S., Deeke, S. A., Brandel, A., Zhou, H., Shokralla, S., et al. (2016) · Nature Communications · doi:10.1038/ncomms13419 · Cited by 444 · 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
Variations in oral microbiota associated with oral cancer
Zhao, H., Chu, M., Huang, Z., Yang, X., Ran, S., Hu, B., Zhang, C., & Liang, J. (2017) · Scientific Reports · doi:10.1038/s41598-017-11779-9 · Cited by 438 · see citing works
Sands, K. M., Carvalho, M. J., Portal, E. A. R., Thomson, K., Dyer, C., Akpulu, C., Andrews, R., Ferreira, A., Gillespie, D., Hender, T., et al. (2021) · Nature Microbiology · doi:10.1038/s41564-021-00870-7 · Cited by 434 · see citing works
Husník, F., Nikoh, N., Koga, R., Ross, L., Duncan, R. P., Fujie, M., Tanaka, M. R., Satoh, N., Bachtrog, D., Wilson, A. C. C., et al. (2013) · Cell · doi:10.1016/j.cell.2013.05.040 · Cited by 428 · see citing works
T cell fate and clonality inference from single-cell transcriptomes
(2016) · doi:10.1038/nmeth.3800 · Cited by 434 · see citing works
Low-N protein engineering with data-efficient deep learning
Biswas, S., Khimulya, G., Alley, E. C., Esvelt, K. M., & Church, G. M. (2021) · Nature Methods · doi:10.1038/s41592-021-01100-y · Cited by 422 · see citing works
Kummen, M., Holm, K., Anmarkrud, J. A., Nygård, S., Vesterhus, M., Høivik, M. L., Trøseid, M., Marschall, H.-U., Schrumpf, E., Moum, B., et al. (2017) · Gut · doi:10.1136/gutjnl-2015-310500 · Cited by 426 · see citing works
Primary sclerosing cholangitis is characterised by intestinal dysbiosis independent from IBD
Sabino, J., Vieira-Silva, S., Machiels, K., Joossens, M., Falony, G., Ballet, V., Ferrante, M., Van Assche, G., Van der Merwe, S., Vermeire, S., et al. (2016) · Gut · doi:10.1136/gutjnl-2015-311004 · Cited by 413 · see citing works
Methane yield phenotypes linked to differential gene expression in the sheep rumen microbiome
Shi, W., Moon, C. D., Leahy, S. C., Kang, D., Froula, J., Kittelmann, S., Fan, C., Deutsch, S., Gagic, D., Seedorf, H., et al. (2014) · Genome Research · doi:10.1101/gr.168245.113 · Cited by 414 · see citing works
Exploiting sparseness in de novo genome assembly
Ye, C., Ma, Z. S., Cannon, C. H., Pop, M., & Yu, D. W. (2012) · BMC Bioinformatics · doi:10.1186/1471-2105-13-s6-s1 · Cited by 413 · see citing works
Murphy, K., Curley, D., O’Callaghan, T. F., O'Shea, C., Dempsey, E. M., O’Toole, P. W., Ross, R. P., Ryan, C. A., & Stanton, C. (2017) · Scientific Reports · doi:10.1038/srep40597 · Cited by 413 · see citing works
Clavijo, B., Venturini, L., Schudoma, C., Accinelli, G. G., Kaithakottil, G., Wright, J., Borrill, P., Kettleborough, G., Heavens, D., Chapman, H., et al. (2017) · Genome Research · doi:10.1101/gr.217117.116 · Cited by 413 · see citing works
Long-term forest soil warming alters microbial communities in temperate forest soils
DeAngelis, K. M., Pold, G., TopçuoÄŸlu, B. D., van Diepen, L. T. A., Varney, R., Blanchard, J. L., Melillo, J. M., & Frey, S. D. (2015) · Frontiers in Microbiology · doi:10.3389/fmicb.2015.00104 · Cited by 405 · see citing works
Reduction of microbial diversity in grassland soil is driven by long-term climate warming
Wu, L., Zhang, Y., Guo, X. Y., Ning, D., Zhou, X., Feng, J., Yuan, M., Liu, S., Guo, J., Gao, Z., et al. (2022) · Nature Microbiology · doi:10.1038/s41564-022-01147-3 · Cited by 407 · see citing works
Unraveling CRISPR-Cas9 genome engineering parameters via a library-on-library approach
Chari, R., Mali, P., Moosburner, M., & Church, G. M. (2015) · Nature Methods · doi:10.1038/nmeth.3473 · Cited by 394 · see citing works
Ellebedy, A. H., Jackson, K., Kissick, H. T., Nakaya, H. I., Davis, C. W., Roskin, K. M., McElroy, A. K., Oshansky, C. M., Elbein, R., Thomas, S., et al. (2016) · Nature Immunology · doi:10.1038/ni.3533 · Cited by 384 · see citing works
Ochoa‐Hueso, R., Collins, S. L., Delgado‐Baquerizo, M., Hamonts, K., Pockman, W. T., Sinsabaugh, R. L., Smith, M. D., Knapp, A. K., & Power, S. A. (2018) · Global Change Biology · doi:10.1111/gcb.14113 · Cited by 402 · see citing works
Field study reveals core plant microbiota and relative importance of their drivers
Hamonts, K., Trivedi, P., Garg, A., Janitz, C., Grinyer, J., Holford, P., Botha, F. C., Anderson, I. C., & Singh, B. K. (2017) · Environmental Microbiology · doi:10.1111/1462-2920.14031 · Cited by 392 · see citing works
Dong, L., Lu, D., Chen, R., Lin, Y., Zhu, H., Zhang, Z., Cai, S., Cui, P., Song, G., Rao, D., et al. (2021) · Cancer Cell · doi:10.1016/j.ccell.2021.12.006 · Cited by 400 · see citing works
Mo, Y., Zhang, W., Yang, J., Lin, Y., Yu, Z., & Lin, S. (2018) · The ISME Journal · doi:10.1038/s41396-018-0153-6 · Cited by 398 · see citing works
Arthur, J. C., Gharaibeh, R. Z., Mühlbauer, M., Perez-Chanona, E., Uronis, J. M., McCafferty, J., Fodor, A. A., & Jobin, C. (2014) · Nature Communications · doi:10.1038/ncomms5724 · Cited by 392 · see citing works
- Authors
- Magoč, T., & Salzberg, S. L.
- Affiliations
- Johns Hopkins University (US)
- Corresponding author
- Magoč, Tanja
- ORCID
- Salzberg, Steven L.
- Venue
- Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Published
- 2011-09-07
- Volume
- 27
- Issue
- 21
- Pages
- 2957-2963
- ISSN
- 1367-4803 (ISSN-L)
- 1367-4811
- PMC
- PMC3198573
- OpenAlex
- W2157107905
- Cited by
- 15,366
- References
- 10
- Citations by year
- 2026: 1179 · 2025: 1544 · 2024: 1692 · 2023: 1732 · 2022: 2072 · 2021: 1845 · 2020: 1613 · 2019: 1187 · 2018: 1004 · 2017: 681 · 2016: 450 · 2015: 228 · 2014: 84 · 2013: 35 · 2012: 8
- FWCI
- 16.60
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Bioinformatics (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- HighWire Press Open Archive (submittedVersion)
- Funders
- National Human Genome Research Institute (R01HG006102, R01HG006677)
- National Institute of General Medical Sciences (R01GM083873)
- U.S. National Library of Medicine (R01LM006845)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Physical Sciences › Computer Science › Artificial Intelligence › Algorithms and Data Compression
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Fractal and DNA sequence analysis
- Keywords
- Adobe Flash, paired-end reads, read merging, de novo genome assembly, fragment libraries, Staphylococcus aureus, chromosome 14
- MeSH terms
- Chromosomes, Human, Pair 14, Humans, Software, Staphylococcus aureus, Genome, Sequence Analysis, DNA, Genomics
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review