Title |
A new rhesus macaque assembly and annotation for next-generation sequencing analyses
|
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Published in |
Biology Direct, October 2014
|
DOI | 10.1186/1745-6150-9-20 |
Pubmed ID | |
Authors |
Aleksey V Zimin, Adam S Cornish, Mnirnal D Maudhoo, Robert M Gibbs, Xiongfei Zhang, Sanjit Pandey, Daniel T Meehan, Kristin Wipfler, Steven E Bosinger, Zachary P Johnson, Gregory K Tharp, Guillaume Marçais, Michael Roberts, Betsy Ferguson, Howard S Fox, Todd Treangen, Steven L Salzberg, James A Yorke, Robert B Norgren, |
Abstract |
The rhesus macaque (Macaca mulatta) is a key species for advancing biomedical research. Like all draft mammalian genomes, the draft rhesus assembly (rheMac2) has gaps, sequencing errors and misassemblies that have prevented automated annotation pipelines from functioning correctly. Another rhesus macaque assembly, CR_1.0, is also available but is substantially more fragmented than rheMac2 with smaller contigs and scaffolds. Annotations for these two assemblies are limited in completeness and accuracy. High quality assembly and annotation files are required for a wide range of studies including expression, genetic and evolutionary analyses. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 45% |
United Kingdom | 3 | 27% |
Norway | 1 | 9% |
Unknown | 2 | 18% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 55% |
Scientists | 4 | 36% |
Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 6% |
Netherlands | 1 | 1% |
Sweden | 1 | 1% |
France | 1 | 1% |
Unknown | 81 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 23 | 26% |
Student > Master | 12 | 13% |
Student > Bachelor | 11 | 12% |
Student > Ph. D. Student | 11 | 12% |
Student > Postgraduate | 5 | 6% |
Other | 11 | 12% |
Unknown | 16 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 25 | 28% |
Biochemistry, Genetics and Molecular Biology | 22 | 25% |
Computer Science | 6 | 7% |
Medicine and Dentistry | 5 | 6% |
Immunology and Microbiology | 3 | 3% |
Other | 9 | 10% |
Unknown | 19 | 21% |