Title |
Analyzing and minimizing PCR amplification bias in Illumina sequencing libraries
|
---|---|
Published in |
Genome Biology, February 2011
|
DOI | 10.1186/gb-2011-12-2-r18 |
Pubmed ID | |
Authors |
Daniel Aird, Michael G Ross, Wei-Sheng Chen, Maxwell Danielsson, Timothy Fennell, Carsten Russ, David B Jaffe, Chad Nusbaum, Andreas Gnirke |
Abstract |
Despite the ever-increasing output of Illumina sequencing data, loci with extreme base compositions are often under-represented or absent. To evaluate sources of base-composition bias, we traced genomic sequences ranging from 6% to 90% GC through the process by quantitative PCR. We identified PCR during library preparation as a principal source of bias and optimized the conditions. Our improved protocol significantly reduces amplification bias and minimizes the previously severe effects of PCR instrument and temperature ramp rate. |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 25% |
Canada | 1 | 13% |
Unknown | 5 | 63% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 75% |
Scientists | 2 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,686 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 38 | 2% |
United Kingdom | 24 | 1% |
Germany | 16 | <1% |
Spain | 9 | <1% |
Brazil | 7 | <1% |
France | 6 | <1% |
Denmark | 5 | <1% |
Canada | 4 | <1% |
Norway | 3 | <1% |
Other | 31 | 2% |
Unknown | 1543 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 450 | 27% |
Researcher | 408 | 24% |
Student > Master | 189 | 11% |
Student > Bachelor | 139 | 8% |
Student > Doctoral Student | 67 | 4% |
Other | 229 | 14% |
Unknown | 204 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 797 | 47% |
Biochemistry, Genetics and Molecular Biology | 346 | 21% |
Computer Science | 48 | 3% |
Medicine and Dentistry | 46 | 3% |
Immunology and Microbiology | 38 | 2% |
Other | 174 | 10% |
Unknown | 237 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 April 2023.
All research outputs
#1,801,963
of 25,837,817 outputs
Outputs from Genome Biology
#1,487
of 4,506 outputs
Outputs of similar age
#7,158
of 122,223 outputs
Outputs of similar age from Genome Biology
#7
of 30 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,506 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 66% of its peers.
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We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.