Chapter title |
Overview of Repeat Annotation and De Novo Repeat Identification
|
---|---|
Chapter number | 20 |
Book title |
Plant Transposable Elements
|
Published in |
Methods in molecular biology, January 2013
|
DOI | 10.1007/978-1-62703-568-2_20 |
Pubmed ID | |
Book ISBNs |
978-1-62703-567-5, 978-1-62703-568-2
|
Authors |
Ning Jiang, Jiang, Ning |
Abstract |
The availability of a large amount of genomic sequences has provided unique opportunities for understanding the composition and dynamics of transposable elements (TEs) in plants. As the cost of sequencing declines, the genomic sequences of most crop plants will be available within the next few years. Thus, the annotation of genomic sequences, rather than sequence availability, will become the "bottleneck" for genome study. Since TEs are the largest component of most plant genomes, the automation of TE identification and classification is essential for future genome annotation as well as characterization of TEs. In this chapter, the functions and mechanisms of different repeat finding tools are reviewed, with a focus on de novo repeat identification programs. In addition, this chapter covers the further processing of results from de novo identification programs and the construction of repeat libraries for downstream genome analyses. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 4% |
Switzerland | 1 | 4% |
Unknown | 24 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 6 | 23% |
Student > Ph. D. Student | 5 | 19% |
Student > Bachelor | 3 | 12% |
Student > Doctoral Student | 3 | 12% |
Student > Master | 3 | 12% |
Other | 3 | 12% |
Unknown | 3 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 13 | 50% |
Biochemistry, Genetics and Molecular Biology | 5 | 19% |
Computer Science | 2 | 8% |
Medicine and Dentistry | 1 | 4% |
Chemistry | 1 | 4% |
Other | 1 | 4% |
Unknown | 3 | 12% |