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Integrating genome assemblies with MAIA
- Source :
- Bioinformatics, 26 (18), 2010, Bioinformatics
- Publication Year :
- 2010
- Publisher :
- Oxford University Press, 2010.
-
Abstract
- Motivation: De novo assembly of a eukaryotic genome with next-generation sequencing data is still a challenging task. Over the past few years several assemblers have been developed, often suitable for one specific type of sequencing data. The number of known genomes is expanding rapidly, therefore it becomes possible to use multiple reference genomes for assembly projects. We introduce an assembly integrator that makes use of all available data, i.e. multiple de novo assemblies and mappings against multiple related genomes, by optimizing a weighted combination of criteria. Results: The developed algorithm was applied on the de novo sequencing of the Saccharomyces cerevisiae CEN.PK 113-7D strain. Using Solexa and 454 read data, two de novo and three comparative assemblies were constructed and subsequently integrated, yielding 29 contigs, covering more than 12 Mbp; a drastic improvement compared with the single assemblies. Availability: MAIA is available as a Matlab package and can be downloaded from http://bioinformatics.tudelft.nl Contact: j.f.nijkamp@tudelft.nl
- Subjects :
- Statistics and Probability
Sequence analysis
Sequence assembly
Genomics
Computational biology
Saccharomyces cerevisiae
Biology
Biochemistry
Genome
Contig Mapping
Eccb 2010 Conference Proceedings September 26 to September 29, 2010, Ghent, Belgium
Eukaryotic genome
Computer Graphics
De novo sequencing
DNA, Fungal
Molecular Biology
Genetics
Contig
Sequence Analysis, DNA
Original Papers
Computer Science Applications
Sequence Analysis, Alignment and Next Generation Sequencing
Computational Mathematics
Computational Theory and Mathematics
Genome, Fungal
Algorithms
Subjects
Details
- Language :
- English
- ISSN :
- 14602059
- Database :
- OpenAIRE
- Journal :
- Bioinformatics, 26 (18), 2010, Bioinformatics
- Accession number :
- edsair.doi.dedup.....da6b56be9cdaf6f8b1f7addc62115676