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Analysis of quality raw data of second generation sequencers with Quality Assessment Software

Overview of attention for article published in BMC Research Notes, April 2011
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Title
Analysis of quality raw data of second generation sequencers with Quality Assessment Software
Published in
BMC Research Notes, April 2011
DOI 10.1186/1756-0500-4-130
Pubmed ID
Authors

Rommel TJ Ramos, Adriana R Carneiro, Jan Baumbach, Vasco Azevedo, Maria PC Schneider, Artur Silva

Abstract

Second generation technologies have advantages over Sanger; however, they have resulted in new challenges for the genome construction process, especially because of the small size of the reads, despite the high degree of coverage. Independent of the program chosen for the construction process, DNA sequences are superimposed, based on identity, to extend the reads, generating contigs; mismatches indicate a lack of homology and are not included. This process improves our confidence in the sequences that are generated.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 2%
Chile 1 2%
France 1 2%
Brazil 1 2%
United Kingdom 1 2%
Belgium 1 2%
Greece 1 2%
Unknown 46 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 26%
Student > Master 13 25%
Student > Ph. D. Student 8 15%
Other 4 8%
Student > Postgraduate 3 6%
Other 9 17%
Unknown 2 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 36 68%
Computer Science 7 13%
Biochemistry, Genetics and Molecular Biology 3 6%
Engineering 2 4%
Veterinary Science and Veterinary Medicine 1 2%
Other 2 4%
Unknown 2 4%