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Direct Comparisons of Illumina vs. Roche 454 Sequencing Technologies on the Same Microbial Community DNA Sample
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![Figure 2 Average length and sequence accuracy comparisons of the Roche 454 and Illumina assembled contigs. (A) Length and coverage distribution of the contigs assembled from the Lanier.Illumina dataset. Note that contigs shorter than 500 bp (red) were numerically more abundant than longer contigs (green) but were characterized by substantially lower coverage (inset). (B) Graph shows the comparison of the contig length of three assemblies plotted against the N statistic of the assembly [for instance, N40 (x-axis) is equal to about 1 Kbp (y-axis), which means that (100−40 = 60) % of the entire assembly is contained in contigs no shorter than 1 Kbp]. Due to frameshifts caused primarily by homopolymer-associated errors in the derived consensus sequence of the contigs, genes from Roche 454 assembly had fewer complete matches in the NR database relatively to their Illumina counterparts (inset; results are based on a total of 72,709 gene sequences annotated on contigs that were shared between the two assemblies and were longer than 500 bp).](/paper-figures/01bbf0484675411f9226ab6426a65651/direct-comparisons-of-illumina-vs-roche-454-sequencing-technologies-on-the-same-figure-2.jpg)





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“The relatively long read lengths of these technologies have benefits for crossing repeat regions, yet this advantage is somewhat negated by their inability to correctly assess longer (>4–5 nucleotides) stretches of homopolymers (51).”
From Tandem repeats lead to sequence assembly errors and impose multi-level challenges for genome and protein databases (2019) · cites this paper as [51]
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Cites
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
A human gut microbial gene catalogue established by metagenomic sequencing
MetaHIT Consortium, Qin, J., Li, R., Raes, J., Arumugam, M., Burgdorf, K. S., Manichanh, C., Nielsen, T., Pons, N., Levenez, F., et al. (2010) · Nature · doi:10.1038/nature08821 · Cited by 11,624
<tt>BLAT</tt> —The <tt>BLAST</tt> -Like Alignment Tool
Kent, W. J. (2002) · Genome Research · doi:10.1101/gr.229202 · Cited by 8,480
De Filippo, C., Cavalieri, D., Di Paola, M., Ramazzotti, M., Poullet, J. B., Massart, S., Collini, S., Pieraccini, G., & Lionetti, P. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1005963107 · Cited by 5,579
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 · cited 3×
“We performed six independent assemblies, using K = 21, 25, 29 for the three PLoS ONE | www.plosone.org 8 February 2012 | Volume 7 | Issue 2 | e30087 SOAPdenovo runs and K = 23, 27, 31 for the three Velvet runs.”
MethodA Catalog of Reference Genomes from the Human Microbiome
The Human Microbiome Jumpstart Reference Strains Consortium, Nelson, K. E., Weinstock, G. M., Highlander, S. K., Worley, K. C., Creasy, H. H., Wortman, J. R., Rusch, D. B., Mitreva, M., Sodergren, E., et al. (2010) · Science · doi:10.1126/science.1183605 · Cited by 702
Self-citation
Research works printed but not linked: 25
- EF DeLong, 2006, Community genomics among stratified microbial assemblages in the ocean's interior., Science, 311, 496, 10.1126/science.1120250 · DOI
- KT Konstantinidis, 2009, Comparative metagenomic analysis of a microbial community residing at a depth of 4,000 meters at station ALOHA in the North Pacific subtropical gyre., Appl Environ Microbiol, 75, 5345, 10.1128/AEM.00473-09 · DOI
- M Margulies, 2005, Genome sequencing in microfabricated high-density picolitre reactors., Nature, 437, 376, 10.1038/nature03959 · DOI · Paper page
- S Bennett, 2004, Solexa Ltd., Pharmacogenomics, 5, 433, 10.1517/14622416.5.4.433 · DOI
- J Shendure, 2005, Accurate multiplex polony sequencing of an evolved bacterial genome., Science, 309, 1728, 10.1126/science.1117389 · DOI
- J McCarren, 2010, Microbial community transcriptomes reveal microbes and metabolic pathways associated with dissolved organic matter turnover in the sea., Proc Natl Acad Sci U S A, 107, 16420, 10.1073/pnas.1010732107 · DOI
- R Mackelprang, 2011, Metagenomic analysis of a permafrost microbial community reveals a rapid response to thaw., Nature
- C Quince, 2009, Accurate determination of microbial diversity from 454 pyrosequencing data., Nat Methods, 6, 639, 10.1038/nmeth.1361 · DOI
- V Gomez-Alvarez, 2009, Systematic artifacts in metagenomes from complex microbial communities., ISME J, 3, 1314, 10.1038/ismej.2009.72 · DOI
- Y Erlich, 2008, Alta-Cyclic: a self-optimizing base caller for next-generation sequencing., Nat Methods, 5, 679, 10.1038/nmeth.1230 · DOI
- PC Dolan, 2008, TileQC: a system for tile-based quality control of Solexa data., BMC Bioinformatics, 9, 250, 10.1186/1471-2105-9-250 · DOI
- J Schroder, 2010, Reference-free validation of short read data., PLoS One, 5, e12681, 10.1371/journal.pone.0012681 · DOI
- K Nakamura, 2011, Sequence-specific error profile of Illumina sequencers., Nucleic acids research, 39, e90, 10.1093/nar/gkr344 · DOI
- S Oh, 2011, Metagenomic insights into the evolution, function, and complexity of the planktonic microbial community of lake lanier, a temperate freshwater ecosystem., Appl Environ Microbiol, 77, 6000, 10.1128/AEM.00107-11 · DOI
- C Luo, 2011, Individual genome assembly from complex community short-read metagenomic datasets., The ISME Journal
- KT Konstantinidis, 2008, Genomic patterns of recombination, clonal divergence and environment in marine microbial populations., ISME J, 2, 1052, 10.1038/ismej.2008.62 · DOI
- B Rodriguez-Brito, 2010, Viral and microbial community dynamics in four aquatic environments., ISME J, 4, 739, 10.1038/ismej.2010.1 · DOI
- FJ Stewart, 2010, Development and quantitative analyses of a universal rRNA-subtraction protocol for microbial metatranscriptomics., ISME J, 4, 896, 10.1038/ismej.2010.18 · DOI
- J Eid, 2009, Real-time DNA sequencing from single polymerase molecules., Science, 323, 133, 10.1126/science.1162986 · DOI · Paper page
- DR Zerbino, 2008, Velvet: algorithms for de novo short read assembly using de Bruijn graphs., Genome Res, 18, 821, 10.1101/gr.074492.107 · DOI
- H Noguchi, 2006, MetaGene: prokaryotic gene finding from environmental genome shotgun sequences., Nucleic Acids Res, 34, 5623, 10.1093/nar/gkl723 · DOI
- M Rho, 2010, FragGeneScan: predicting genes in short and error-prone reads., Nucleic Acids Res, 38, e191, 10.1093/nar/gkq747 · DOI
- K Nakamura, 2011, Sequence-specific error profile of Illumina sequencers., Nucleic Acids Res, 39, e90, 10.1093/nar/gkr344 · DOI
- SF Altschul, 1997, Gapped BLAST and PSI-BLAST: a new generation of protein database search programs., Nucleic Acids Res, 25, 3389, 10.1093/nar/25.17.3389 · DOI · Paper page
- JD Thompson, 2002, Multiple sequence alignment using ClustalW and ClustalX., Curr Protoc Bioinformatics, Chapter 2, Unit 2 3
Cited by
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The sequence of sequencers: The history of sequencing DNA
Heather, J. M., & Chain, B. (2016) · Genomics · doi:10.1016/j.ygeno.2015.11.003 · Cited by 1,397
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
The gut microbiome in human neurological disease: A review
Tremlett, H., Bauer, K. C., Appel‐Cresswell, S., Finlay, B. B., & Waubant, E. (2017) · Annals of Neurology · doi:10.1002/ana.24901 · Cited by 535
Meta-Analysis Reveals Reproducible Gut Microbiome Alterations in Response to a High-Fat Diet
Bisanz, J. E., Upadhyay, V., Turnbaugh, J. A., Ly, K., & Turnbaugh, P. J. (2019) · Cell Host & Microbe · doi:10.1016/j.chom.2019.06.013 · Cited by 333
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
Allali, I., Arnold, J. W., Roach, J., Cadenas, M. B., Butz, N., Hassan, H. M., Koci, M., Ballou, A., Mendoza, M., Ali, R., et al. (2017) · BMC Microbiology · doi:10.1186/s12866-017-1101-8 · Cited by 298
Wesolowska-Andersen, A., Bahl, M. I., Carvalho, V., Kristiansen, K., Sicheritz-Pontén, T., Gupta, R., & Licht, T. R. (2014) · Microbiome · doi:10.1186/2049-2618-2-19 · Cited by 277
Yeoman, C. J., Ishaq, S. L., Bichi, E., Olivo, S. K., Lowe, J., & Aldridge, B. M. (2018) · Scientific Reports · doi:10.1038/s41598-018-21440-8 · Cited by 168
High Throughput Sequencing for Detection of Foodborne Pathogens
Sekse, C., Holst-Jensen, A., Dobrindt, U., Johannessen, G. S., Li, W., Spilsberg, B., & Shi, J. (2017) · Frontiers in Microbiology · doi:10.3389/fmicb.2017.02029 · Cited by 98
Ishaq, S. L., AlZahal, O., Walker, N., & McBride, B. (2017) · Frontiers in Microbiology · doi:10.3389/fmicb.2017.01943 · Cited by 61
“An inhouse ruby script was used to truncate sequences at the reverse primer or at homopolymers after 8 bases (Luo et al., 2012; Ishaq et al., 2017).”
MethodTranslational Aspects of the Human Respiratory Virome
Mitchell, A. B., Oliver, B. G. G., & Glanville, A. R. (2016) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201606-1278ci · Cited by 59
Metadata
- Authors
- Luo, C., Tsementzi, D., Kyrpides, N., Read, T., & Konstantinidis, K. T.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2012-02-10
- Volume
- 7
- Issue
- 2
- Pages
- e30087
- ISSN
- 1932-6203
- PMC
- PMC3277595
- Cited by
- 337
- References
- 6
- Language
- en
- Update notices
- correction (2012-03-29)
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