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Ray: Simultaneous Assembly of Reads from a Mix of High-Throughput Sequencing Technologies
- Source :
- Journal of Computational Biology. 17:1519-1533
- Publication Year :
- 2010
- Publisher :
- Mary Ann Liebert Inc, 2010.
-
Abstract
- An accurate genome sequence of a desired species is now a pre-requisite for genome research. An important step in obtaining a high-quality genome sequence is to correctly assemble short reads into longer sequences accurately representing contiguous genomic regions. Current sequencing technologies continue to offer increases in throughput, and corresponding reductions in cost and time. Unfortunately, the benefit of obtaining a large number of reads is complicated by sequencing errors, with different biases being observed with each platform. Although software are available to assemble reads for each individual system, no procedure has been proposed for high-quality simultaneous assembly based on reads from a mix of different technologies. In this paper, we describe a parallel short-read assembler, called Ray, which has been developed to assemble reads obtained from a combination of sequencing platforms. We compared its performance to other assemblers on simulated and real datasets. We used a combination of Roche/454 and Illumina reads to assemble three different genomes. We showed that mixing sequencing technologies systematically reduces the number of contigs and the number of errors. Because of its open nature, this new tool will hopefully serve as a basis to develop an assembler that can be of universal utilization (availability: http://deNovoAssembler.sf.Net/). For online Supplementary Material , see www.liebertonline.com.
- Subjects :
- Whole genome sequencing
Genetics
Genome
Base Sequence
Shotgun sequencing
2 base encoding
Computational Biology
High-Throughput Nucleotide Sequencing
DNA sequencing theory
Sequence assembly
Hybrid genome assembly
Sequence Analysis, DNA
Parallel computing
Biology
Deep sequencing
Contig Mapping
Computational Mathematics
Computational Theory and Mathematics
Modeling and Simulation
Molecular Biology
Research Articles
Algorithms
Software
ABI Solid Sequencing
Subjects
Details
- ISSN :
- 15578666 and 10665277
- Volume :
- 17
- Database :
- OpenAIRE
- Journal :
- Journal of Computational Biology
- Accession number :
- edsair.doi.dedup.....5a460f3f9b674c12e82b753f0e0dc2c0
- Full Text :
- https://doi.org/10.1089/cmb.2009.0238