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Finishing genomes with limited resources: lessons from an ensemble of microbial genomes

Overview of attention for article published in BMC Genomics, April 2010
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226 Mendeley
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Title
Finishing genomes with limited resources: lessons from an ensemble of microbial genomes
Published in
BMC Genomics, April 2010
DOI 10.1186/1471-2164-11-242
Pubmed ID
Authors

Niranjan Nagarajan, Christopher Cook, MariaPia Di Bonaventura, Hong Ge, Allen Richards, Kimberly A Bishop-Lilly, Robert DeSalle, Timothy D Read, Mihai Pop

Abstract

While new sequencing technologies have ushered in an era where microbial genomes can be easily sequenced, the goal of routinely producing high-quality draft and finished genomes in a cost-effective fashion has still remained elusive. Due to shorter read lengths and limitations in library construction protocols, shotgun sequencing and assembly based on these technologies often results in fragmented assemblies. Correspondingly, while draft assemblies can be obtained in days, finishing can take many months and hence the time and effort can only be justified for high-priority genomes and in large sequencing centers. In this work, we revisit this issue in light of our own experience in producing finished and nearly-finished genomes for a range of microbial species in a small-lab setting. These genomes were finished with surprisingly little investments in terms of time, computational effort and lab work, suggesting that the increased access to sequencing might also eventually lead to a greater proportion of finished genomes from small labs and genomics cores.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 226 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 11 5%
Brazil 5 2%
Belgium 3 1%
United Kingdom 3 1%
Australia 2 <1%
France 1 <1%
Germany 1 <1%
Sweden 1 <1%
Canada 1 <1%
Other 9 4%
Unknown 189 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 75 33%
Student > Ph. D. Student 52 23%
Student > Master 17 8%
Student > Bachelor 16 7%
Other 12 5%
Other 45 20%
Unknown 9 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 142 63%
Biochemistry, Genetics and Molecular Biology 30 13%
Computer Science 18 8%
Immunology and Microbiology 6 3%
Engineering 3 1%
Other 17 8%
Unknown 10 4%