Title |
PLANEX: the plant co-expression database
|
---|---|
Published in |
BMC Plant Biology, May 2013
|
DOI | 10.1186/1471-2229-13-83 |
Pubmed ID | |
Authors |
Won Cheol Yim, Yongbin Yu, Kitae Song, Cheol Seong Jang, Byung-Moo Lee |
Abstract |
The PLAnt co-EXpression database (PLANEX) is a new internet-based database for plant gene analysis. PLANEX (http://planex.plantbioinformatics.org) contains publicly available GeneChip data obtained from the Gene Expression Omnibus (GEO) of the National Center for Biotechnology Information (NCBI). PLANEX is a genome-wide co-expression database, which allows for the functional identification of genes from a wide variety of experimental designs. It can be used for the characterization of genes for functional identification and analysis of a gene's dependency among other genes. Gene co-expression databases have been developed for other species, but gene co-expression information for plants is currently limited. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 13% |
France | 1 | 13% |
Australia | 1 | 13% |
Canada | 1 | 13% |
United Kingdom | 1 | 13% |
Unknown | 3 | 38% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 4 | 50% |
Members of the public | 2 | 25% |
Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 2% |
Norway | 1 | 1% |
Bolivia, Plurinational State of | 1 | 1% |
Germany | 1 | 1% |
Australia | 1 | 1% |
Brazil | 1 | 1% |
India | 1 | 1% |
Uruguay | 1 | 1% |
Argentina | 1 | 1% |
Other | 3 | 3% |
Unknown | 83 | 86% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 31 | 32% |
Researcher | 18 | 19% |
Student > Master | 9 | 9% |
Student > Doctoral Student | 6 | 6% |
Professor > Associate Professor | 6 | 6% |
Other | 16 | 17% |
Unknown | 10 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 58 | 60% |
Biochemistry, Genetics and Molecular Biology | 12 | 13% |
Computer Science | 6 | 6% |
Business, Management and Accounting | 2 | 2% |
Nursing and Health Professions | 1 | 1% |
Other | 1 | 1% |
Unknown | 16 | 17% |