The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Tackling soil diversity with the assembly of large, complex metagenomes
Open accessAbstract
Significance: Investigations of complex environments rely on large volumes of sequence data to adequately sample the genetic diversity of a microbial community. The assembly of short-read data into longer, more interpretable sequence currently is not possible for much of the research community because it requires specialized computational facilities. We present approaches that make de novo assembly of complex metagenomes more accessible. These approaches scale data size with community richness and subdivide the data into tractable subsets representing individual species. We applied these methods toward the assembly of two large soil metagenomes to identify important metagenomic references and show that considerably more data are needed to study the terrestrial microbiome comprehensively.
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Citations
Cites
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
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
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 1×
“Comparable recoveries of references between original and filtered datasets also were obtained with other assemblers [SOAPdenovo (16) and Meta-IDBA (17)].”
Method
Cited by
MMseqs2 enables sensitive protein sequence searching for the analysis of massive data sets
Steinegger, M., & Söding, J. (2017) · Nature Biotechnology · doi:10.1038/nbt.3988 · Cited by 4,840
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
Huson, D. H., Beier, S., Flade, I., Górska, A., El-Hadidi, M., Mitra, S., Ruscheweyh, H.-J., & Tappu, R. (2016) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1004957 · Cited by 1,761
Biogeography and individuality shape function in the human skin metagenome
Program, N. C. S., Oh, J., Byrd, A. L., Deming, C., Conlan, S., Kong, H. H., & Segre, J. A. (2014) · Nature · doi:10.1038/nature13786 · Cited by 1,148
HH-suite3 for fast remote homology detection and deep protein annotation
Steinegger, M., Meier, M., Mirdita, M., Vöhringer, H., Haunsberger, S. J., & Söding, J. (2019) · BMC Bioinformatics · doi:10.1186/s12859-019-3019-7 · Cited by 1,145
Metadata
- Authors
- Howe, A. C., Jansson, J. K., Malfatti, S. A., Tringe, S. G., Tiedje, J. M., & Brown, C. T.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2014-03-14
- Volume
- 111
- Issue
- 13
- Pages
- 4904-4909
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2159591897
- Cited by
- 321
- References
- 3
- FWCI
- 16.91
- Type
- journal article
- Language
- en
- Open access
- green
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