The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
SHARCGS, a fast and highly accurate short-read assembly algorithm for de novo genomic sequencing
Open accessAbstract
The latest revolution in the DNA sequencing field has been brought about by the development of automated sequencers that are capable of generating giga base pair data sets quickly and at low cost. Applications of such technologies seem to be limited to resequencing and transcript discovery, due to the shortness of the generated reads. In order to extend the fields of application to de novo sequencing, we developed the SHARCGS algorithm to assemble short-read (25–40-mer) data with high accuracy and speed. The efficiency of SHARCGS was tested on BAC inserts from three eukaryotic species, on two yeast chromosomes, and on two bacterial genomes (Haemophilus influenzae, Escherichia coli). We show that 30-mer-based BAC assemblies have N50 sizes >20 kbp for Drosophila and Arabidopsis and >4 kbp for human in simulations taking missing reads and wrong base calls into account. We assembled 949,974 contigs with length >50 bp, and only one single contig could not be aligned error-free against the reference sequences. We generated 36-mer reads for the genome of Helicobacter acinonychis on the Illumina 1G sequencing instrument and assembled 937 contigs covering 98% of the genome with an N50 size of 3.7 kbp. With the exception of five contigs that differ in 1–4 positions relative to the reference sequence, all contigs matched the genome error-free. Thus, SHARCGS is a suitable tool for fully exploiting novel sequencing technologies by assembling sequence contigs de novo with high confidence and by outperforming existing assembly algorithms in terms of speed and accuracy.
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Cites
Initial sequencing and comparative analysis of the mouse genome
Mouse Genome Sequencing Consortium (2002) · Nature · doi:10.1038/nature01262 · Cited by 7,187
Base-Calling of Automated Sequencer Traces Using Phred. II. Error Probabilities
Ewing, B., & Green, P. (1998) · Genome Research · doi:10.1101/gr.8.3.186 · Cited by 5,439
CAP3: A DNA Sequence Assembly Program
Huang, X., & Madan, A. (1999) · Genome Research · doi:10.1101/gr.9.9.868 · Cited by 5,261
Mullikin, J. C., & Ning, Z. (2003) · Genome Research · doi:10.1101/gr.731003 · Cited by 222
Cited by
Next-generation DNA sequencing
Shendure, J., & Ji, H. (2008) · Nature Biotechnology · doi:10.1038/nbt1486 · Cited by 4,509
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
“Some other short read assemblers have applied the overlap and extension strategy, such as SSAKE (Warren et al. 2007), VCAKE (Jeck et al. 2007) (the follower of SSAKE which can handle sequencing errors), SHARCGS (Dohm et al. 2007), and Edena (Hernandez et al. 2008).”
MethodSubstantial biases in ultra-short read data sets from high-throughput DNA sequencing
Dohm, J. C., Lottaz, C., Borodina, T., & Himmelbauer, H. (2008) · Nucleic Acids Research · doi:10.1093/nar/gkn425 · Cited by 1,088
Self-citationApplication of 'next-generation' sequencing technologies to microbial genetics
MacLean, D., Jones, J. D. G., & Studholme, D. J. (2009) · Nature Reviews Microbiology · doi:10.1038/nrmicro2088 · Cited by 293
De novo fragment assembly with short mate-paired reads: Does the read length matter?
Chaisson, M. J., Brinza, D., & Pevzner, P. A. (2009) · Genome Research · doi:10.1101/gr.079053.108 · Cited by 279
Metadata
- Authors
- Dohm, J. C., Lottaz, C., Borodina, T., & Himmelbauer, H.
- Venue
- Genome Research
- Publisher
- Cold Spring Harbor Laboratory
- Published
- 2007-10-01
- Volume
- 17
- Issue
- 11
- Pages
- 1697-1706
- ISSN
- 1088-9051 (ISSN-L)
- OpenAlex
- W2127651281
- Cited by
- 283
- References
- 4
- Type
- posted content
- Language
- en
- Open access
- bronze
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- Dohm, J. C., Lottaz, C., Borodina, T., & Himmelbauer, H. (2007). SHARCGS, a fast and highly accurate short-read assembly algorithm for de novo genomic sequencing. Genome Research. https://doi.org/10.1101/gr.6435207
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