You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
| Title |
RNaseIII and T4 Polynucleotide Kinase sequence biases and solutions during RNA-seq library construction
|
|---|---|
| Published in |
Biology Direct, July 2013
|
| DOI | 10.1186/1745-6150-8-16 |
| Pubmed ID | |
| Authors |
Changhoon Lee, R Adron Harris, Jason K Wall, R Dayne Mayfield, Claus O Wilke |
| Abstract |
RNA-seq is a next generation sequencing method with a wide range of applications including single nucleotide polymorphism (SNP) detection, splice junction identification, and gene expression level measurement. However, the RNA-seq sequence data can be biased during library constructions resulting in incorrect data for SNP, splice junction, and gene expression studies. Here, we developed new library preparation methods to limit such biases. |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 4% |
| South Africa | 1 | 2% |
| Unknown | 42 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 33% |
| Researcher | 11 | 24% |
| Professor > Associate Professor | 5 | 11% |
| Student > Master | 5 | 11% |
| Other | 3 | 7% |
| Other | 2 | 4% |
| Unknown | 4 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 19 | 42% |
| Biochemistry, Genetics and Molecular Biology | 14 | 31% |
| Computer Science | 2 | 4% |
| Engineering | 2 | 4% |
| Medicine and Dentistry | 2 | 4% |
| Other | 2 | 4% |
| Unknown | 4 | 9% |