Title |
Efficient assembly and annotation of the transcriptome of catfish by RNA-Seq analysis of a doubled haploid homozygote
|
---|---|
Published in |
BMC Genomics, November 2012
|
DOI | 10.1186/1471-2164-13-595 |
Pubmed ID | |
Authors |
Shikai Liu, Yu Zhang, Zunchun Zhou, Geoff Waldbieser, Fanyue Sun, Jianguo Lu, Jiaren Zhang, Yanliang Jiang, Hao Zhang, Xiuli Wang, KV Rajendran, Lester Khoo, Huseyin Kucuktas, Eric Peatman, Zhanjiang Liu |
Abstract |
Upon the completion of whole genome sequencing, thorough genome annotation that associates genome sequences with biological meanings is essential. Genome annotation depends on the availability of transcript information as well as orthology information. In teleost fish, genome annotation is seriously hindered by genome duplication. Because of gene duplications, one cannot establish orthologies simply by homology comparisons. Rather intense phylogenetic analysis or structural analysis of orthologies is required for the identification of genes. To conduct phylogenetic analysis and orthology analysis, full-length transcripts are essential. Generation of large numbers of full-length transcripts using traditional transcript sequencing is very difficult and extremely costly. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 4% |
Australia | 2 | 2% |
India | 2 | 2% |
Chile | 1 | <1% |
Brazil | 1 | <1% |
Italy | 1 | <1% |
Switzerland | 1 | <1% |
Philippines | 1 | <1% |
Unknown | 100 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 29 | 26% |
Student > Master | 21 | 19% |
Researcher | 18 | 16% |
Student > Doctoral Student | 8 | 7% |
Other | 6 | 5% |
Other | 22 | 19% |
Unknown | 9 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 73 | 65% |
Biochemistry, Genetics and Molecular Biology | 19 | 17% |
Environmental Science | 2 | 2% |
Medicine and Dentistry | 2 | 2% |
Computer Science | 2 | 2% |
Other | 4 | 4% |
Unknown | 11 | 10% |