Title |
Circlator: automated circularization of genome assemblies using long sequencing reads
|
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Published in |
Genome Biology, December 2015
|
DOI | 10.1186/s13059-015-0849-0 |
Pubmed ID | |
Authors |
Martin Hunt, Nishadi De Silva, Thomas D. Otto, Julian Parkhill, Jacqueline A. Keane, Simon R. Harris |
Abstract |
The assembly of DNA sequence data is undergoing a renaissance thanks to emerging technologies capable of producing reads tens of kilobases long. Assembling complete bacterial and small eukaryotic genomes is now possible, but the final step of circularizing sequences remains unsolved. Here we present Circlator, the first tool to automate assembly circularization and produce accurate linear representations of circular sequences. Using Pacific Biosciences and Oxford Nanopore data, Circlator correctly circularized 26 of 27 circularizable sequences, comprising 11 chromosomes and 12 plasmids from bacteria, the apicoplast and mitochondrion of Plasmodium falciparum and a human mitochondrion. Circlator is available at http://sanger-pathogens.github.io/circlator/ . |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 11 | 20% |
United Kingdom | 8 | 15% |
Spain | 4 | 7% |
Germany | 3 | 6% |
France | 1 | 2% |
Canada | 1 | 2% |
Denmark | 1 | 2% |
Netherlands | 1 | 2% |
Norway | 1 | 2% |
Other | 6 | 11% |
Unknown | 17 | 31% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 27 | 50% |
Scientists | 24 | 44% |
Science communicators (journalists, bloggers, editors) | 2 | 4% |
Unknown | 1 | 2% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | <1% |
Canada | 2 | <1% |
Brazil | 2 | <1% |
Netherlands | 1 | <1% |
Norway | 1 | <1% |
Portugal | 1 | <1% |
Sweden | 1 | <1% |
Czechia | 1 | <1% |
Germany | 1 | <1% |
Other | 4 | <1% |
Unknown | 482 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 102 | 20% |
Researcher | 97 | 19% |
Student > Master | 70 | 14% |
Student > Bachelor | 43 | 9% |
Student > Doctoral Student | 25 | 5% |
Other | 61 | 12% |
Unknown | 103 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 172 | 34% |
Biochemistry, Genetics and Molecular Biology | 131 | 26% |
Immunology and Microbiology | 20 | 4% |
Medicine and Dentistry | 17 | 3% |
Computer Science | 17 | 3% |
Other | 30 | 6% |
Unknown | 114 | 23% |