Title |
De novo genome sequence assembly of a filamentous fungus using Sanger, 454 and Illumina sequence data
|
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Published in |
Genome Biology, September 2009
|
DOI | 10.1186/gb-2009-10-9-r94 |
Pubmed ID | |
Authors |
Scott DiGuistini, Nancy Y Liao, Darren Platt, Gordon Robertson, Michael Seidel, Simon K Chan, T Roderick Docking, Inanc Birol, Robert A Holt, Martin Hirst, Elaine Mardis, Marco A Marra, Richard C Hamelin, Jörg Bohlmann, Colette Breuil, Steven JM Jones |
Abstract |
Sequencing-by-synthesis technologies can reduce the cost of generating de novo genome assemblies. We report a method for assembling draft genome sequences of eukaryotic organisms that integrates sequence information from different sources, and demonstrate its effectiveness by assembling an approximately 32.5 Mb draft genome sequence for the forest pathogen Grosmannia clavigera, an ascomycete fungus. We also developed a method for assessing draft assemblies using Illumina paired end read data and demonstrate how we are using it to guide future sequence finishing. Our results demonstrate that eukaryotic genome sequences can be accurately assembled by combining Illumina, 454 and Sanger sequence data. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 25 | 6% |
Brazil | 8 | 2% |
Germany | 7 | 2% |
Spain | 5 | 1% |
Norway | 4 | <1% |
Canada | 4 | <1% |
Italy | 3 | <1% |
United Kingdom | 3 | <1% |
Netherlands | 2 | <1% |
Other | 21 | 5% |
Unknown | 344 | 81% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 137 | 32% |
Student > Ph. D. Student | 110 | 26% |
Student > Master | 37 | 9% |
Professor | 25 | 6% |
Professor > Associate Professor | 24 | 6% |
Other | 69 | 16% |
Unknown | 24 | 6% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 295 | 69% |
Biochemistry, Genetics and Molecular Biology | 41 | 10% |
Computer Science | 29 | 7% |
Immunology and Microbiology | 8 | 2% |
Medicine and Dentistry | 5 | 1% |
Other | 14 | 3% |
Unknown | 34 | 8% |